Pavel V. Shevchenko

Macquarie University - Department of Actuarial Studies and Business Analytics

SCHOLARLY PAPERS

77

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11,526

SSRN CITATIONS
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Top 5,731

in Total Papers Citations

176

CROSSREF CITATIONS

138

Scholarly Papers (77)

1.
Downloads 1,582 (22,095)
Citation 7

Understanding Cyber-Risk and Cyber-Insurance

Macquarie University Faculty of Business & Economics Research Paper
Number of pages: 31 Posted: 20 Jun 2018
Gareth Peters, Pavel V. Shevchenko and Ruben D. Cohen
University of California Santa Barbara, Macquarie University - Department of Actuarial Studies and Business Analytics and Independent
Downloads 1,166 (34,143)
Citation 8

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Fi nancial technology (FinTech), risk management, cyber risk, cyber crime, operational risk, cyber insurance, cyber regulation, information technology risk, business disruption

Understanding Cyber Risk and Cyber Insurance

Number of pages: 30 Posted: 07 Nov 2017 Last Revised: 05 Mar 2018
Gareth Peters, Pavel V. Shevchenko, Ruben D. Cohen and Diane Maurice
University of California Santa Barbara, Macquarie University - Department of Actuarial Studies and Business Analytics, Independent and Central Bank of Tunisia
Downloads 416 (131,246)
Citation 5

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cyber risk, cyber crime, operational risk, cyber insurance, cyber regulation, Information Technology risk, business disruption

2.

Standardized Measurement Approach for Operational Risk: Pros and Cons

Number of pages: 18 Posted: 04 Jun 2016
Gareth Peters, Pavel V. Shevchenko, Bertrand Hassani and Ariane Chapelle
University of California Santa Barbara, Macquarie University - Department of Actuarial Studies and Business Analytics, Université Paris I Panthéon-Sorbonne and University College London - Department of Computer Science
Downloads 1,031 (41,350)
Citation 2

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3.

Machine Learning Techniques for Mortality Modeling

Number of pages: 16 Posted: 23 Feb 2017
Philippe Deprez, Pavel V. Shevchenko and Mario V. Wuthrich
ETH Zürich - Department of Mathematics, Macquarie University - Department of Actuarial Studies and Business Analytics and RiskLab, ETH Zurich
Downloads 603 (84,435)
Citation 6

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mortality modeling, cause-of-death mortality, machine learning, boosting, regression

Statistical Machine Learning Analysis of Cyber Risk Data: Event Case Studies

Number of pages: 27 Posted: 21 Nov 2017 Last Revised: 22 Feb 2018
Gareth Peters, Pavel V. Shevchenko, Ruben D. Cohen and Diane Maurice
University of California Santa Barbara, Macquarie University - Department of Actuarial Studies and Business Analytics, Independent and Central Bank of Tunisia
Downloads 374 (148,214)
Citation 2

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Cyber Risk, Cyber Crime, Operational Risk, Cyber Insurance, Kernel K-Means, Clustering, Cyber Empirical Studies

Statistical Machine Learning Analysis of Cyber Risk Data: Event Case Studies

Macquarie University Faculty of Business & Economics Research Paper
Number of pages: 28 Posted: 20 Jun 2018
Gareth Peters, Pavel V. Shevchenko, Ruben D. Cohen and Diane Maurice
University of California Santa Barbara, Macquarie University - Department of Actuarial Studies and Business Analytics, Independent and Central Bank of Tunisia
Downloads 125 (418,045)
Citation 24

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cyber risk, cyber crime, operational risk, cyber insurance, machine learning, k-means clustering method

5.

Which Risk Factors Drive Oil Futures Price Curves?

Number of pages: 63 Posted: 20 Sep 2016 Last Revised: 03 Feb 2020
The Institute of Statistical MathematicsResilientML, ESC Rennes School of Business, The Institute of Statistical Mathematics, University of California Santa Barbara and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 361 (155,441)
Citation 4

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Crude oil futures, Theory of storage, Theory of normal backwardation, Hedging pressure, Futures Term structure

6.

Forecasting Covariance for Optimal Carry Trade Portfolio Allocations

Number of pages: 5 Posted: 07 Jan 2016
The Institute of Statistical MathematicsResilientML, ESC Rennes School of Business, University of California Santa Barbara and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 360 (155,908)
Citation 1

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Covariance Forecasting, Currency Carry Trade, Covariance Regression, Markowitz Portfolio, Equal Risk Contribution

7.

The t Copula with Multiple Parameters of Degrees of Freedom: Bivariate Characteristics and Application to Risk Management

Quantitative Finance, Vol. 10, No. 9, pp. 1039-1054, 2010
Number of pages: 31 Posted: 15 Jan 2009 Last Revised: 31 Oct 2010
Xiaolin Luo and Pavel V. Shevchenko
Government of the Commonwealth of Australia - CSIRO (Commonwealth Scientific and Industrial Research Organisation) and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 343 (164,372)
Citation 1

Abstract:

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grouped t copula, tail dependence, risk management

8.

The Structural Modelling of Operational Risk Via Bayesian Inference: Combining Loss Data with Expert Opinions

The Journal of Operational Risk 1(3), pp. 3-26, 2006
Number of pages: 26 Posted: 24 Nov 2014
Pavel V. Shevchenko and Mario V. Wuthrich
Macquarie University - Department of Actuarial Studies and Business Analytics and RiskLab, ETH Zurich
Downloads 296 (192,133)
Citation 6

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operational risk, loss distribution approach, Bayesian inference, Basel II Advanced Measurement Approaches, compound process, quantitative risk management

9.

Quantification of Cyber Risk – Risk Categories and Business Sectors

Number of pages: 23 Posted: 11 Jun 2021 Last Revised: 29 Jun 2021
Macquarie University - Department of Actuarial Studies and Business Analytics, Macquarie University, Macquarie Business School, University of New South Wales (UNSW) - School of Actuarial Studies, University of California Santa Barbara, Macquarie University - Department of Mathematics and Statistics and Macquarie University Sydney - Department of Applied Finance and Actuarial Studies
Downloads 290 (196,228)
Citation 3

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10.

Understanding the Interplay between Covariance Forecasting Factor Models and Risk Based Portfolio Allocations in Currency Carry Trades

Number of pages: 25 Posted: 05 Dec 2015
The Institute of Statistical MathematicsResilientML, ESC Rennes School of Business, University of California Santa Barbara and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 288 (197,652)
Citation 2

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Covariance Forecasting, Currency Carry Trade, Covariance Regression, Generalised Multi-Factor Model, Portfolio Optimisation

11.

The Quantification of Operational Risk Using Internal Data, Relevant External Data and Expert Opinion

The Journal of Operational Risk 2(3), pp.3-27, 2007.
Number of pages: 30 Posted: 24 Nov 2014
Dominik Lambrigger, Pavel V. Shevchenko and Mario V. Wuthrich
ETH Zürich, Macquarie University - Department of Actuarial Studies and Business Analytics and RiskLab, ETH Zurich
Downloads 285 (199,792)
Citation 1

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Operational Risk, Basel II, Loss Distribution Approach, Bayesian inference, Advanced Measurement Approach, Quantitative Risk Management, generalized inverse Gaussian distribution

A bias-corrected Least-Squares Monte Carlo for solving multi-period utility models

Number of pages: 34 Posted: 14 Jun 2017 Last Revised: 03 Jun 2021
Johan Andreasson and Pavel V. Shevchenko
University of Technology Sydney (UTS) and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 174 (318,247)

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Dynamic Programming, Stochastic Control, Optimal Policy, Lifecycle Modelling

A bias‑corrected Least‑Squares Monte Carlo for solving multi‑period utility models

Andréasson, J.G., Shevchenko, P.V. A bias-corrected Least-Squares Monte Carlo for solving multi-period utility models. European Actuarial Journal (2021). https://doi.org/10.1007/s13385-021-00288-9
Number of pages: 34 Posted: 20 Jun 2018 Last Revised: 02 May 2022
Johan Andreasson and Pavel V. Shevchenko
University of Technology Sydney (UTS) and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 85 (549,202)
Citation 3

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Dynamic programming, Least-Squares Monte Carlo, control randomisation, stochastic control, lifecycle modelling

13.

Should the Advanced Measurement Approach be Replaced with the Standardized Measurement Approach for Operational Risk?

Journal of Operational Risk, Vol 11, No. 3, pp. 1–49, 2016, DOI: 10.21314/JOP.2016.177
Number of pages: 38 Posted: 14 Jun 2016 Last Revised: 15 Sep 2016
Gareth Peters, Pavel V. Shevchenko, Bertrand Hassani and Ariane Chapelle
University of California Santa Barbara, Macquarie University - Department of Actuarial Studies and Business Analytics, Université Paris I Panthéon-Sorbonne and University College London - Department of Computer Science
Downloads 252 (226,050)
Citation 8

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Operational Risk, Standarised Measurement Approach, Advanced Measurement Approach

14.

Loss Distribution Approach for Operational Risk Capital Modelling Under Basel II: Combining Different Data Sources for Risk Estimation

Number of pages: 44 Posted: 05 Jun 2017
Pavel V. Shevchenko and Gareth Peters
Macquarie University - Department of Actuarial Studies and Business Analytics and University of California Santa Barbara
Downloads 218 (259,805)
Citation 2

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operational risk; loss distribution approach; Basel II

Cohort Effects in Mortality Modelling: A Bayesian State-Space Approach

Number of pages: 44 Posted: 31 Jan 2017 Last Revised: 22 Oct 2019
Simon Man Chung Fung, Gareth Peters and Pavel V. Shevchenko
Commonwealth Bank of Australia, University of California Santa Barbara and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 143 (375,816)
Citation 5

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mortality modelling, cohort features, state-space models, Bayesian inference, Markov chain Monte Carlo

Cohort Effects in Mortality Modelling: A Bayesian State-Space Approach

Macquarie University Faculty of Business & Economics Research Paper
Number of pages: 44 Posted: 17 Apr 2018 Last Revised: 22 Oct 2019
Simon Man Chung Fung, Gareth Peters and Pavel V. Shevchenko
Commonwealth Bank of Australia, University of California Santa Barbara and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 74 (597,508)
Citation 1

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mortality modelling, cohort features, state-space model, Bayesian inference, Markov chain Monte Carlo

16.

Sequential Monte Carlo Samplers for Capital Allocation Under Copula-Dependent Risk Models

Insurance: Mathematics and Economics, Vol. 61, 2015
Number of pages: 32 Posted: 05 Oct 2014 Last Revised: 18 Feb 2015
Rodrigo Targino, Gareth Peters and Pavel V. Shevchenko
Getulio Vargas Foundation (FGV) - EMAp - School of Applied Mathematics, University of California Santa Barbara and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 203 (277,514)
Citation 2

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Risk Management, Capital Allocation, Sequential Monte Carlo (SMC), Copula Models

17.

Dynamic Operational Risk: Modeling Dependence and Combining Different Sources of Information

The Journal of Operational Risk 4(2), pp. 69-104, 2009
Number of pages: 47 Posted: 23 Nov 2014
Gareth Peters, Pavel V. Shevchenko and Mario V. Wuthrich
University of California Santa Barbara, Macquarie University - Department of Actuarial Studies and Business Analytics and RiskLab, ETH Zurich
Downloads 189 (296,073)

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dependence modelling, copula, compound process, operational risk, Bayesian inference, Markov chain Monte Carlo, Slice sampling.

Understanding Operational Risk Capital Approximations: First and Second Orders

Number of pages: 34 Posted: 05 Jun 2017
Gareth Peters, Rodrigo Targino and Pavel V. Shevchenko
University of California Santa Barbara, University College London - Department of Statistical Science and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 95 (511,215)
Citation 8

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Basel II/III; Capital Approximation; Loss Distributional Approach; Capital Approximation; Value-at-Risk; Expected Shortfall; Spectral Risk Measure; Subexponential; Regularly Varying

Understanding Operational Risk Capital Approximations: First and Second Orders

Peters G.W, Targino R., Shevchenko P.V., "Understanding Operational Risk Capital Approximations: First and Second Orders". The Journal of Governance and Regulation, 2(3), (2013).
Number of pages: 34 Posted: 05 Sep 2014
Gareth Peters, Rodrigo Targino and Pavel V. Shevchenko
University of California Santa Barbara, Getulio Vargas Foundation (FGV) - EMAp - School of Applied Mathematics and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 91 (525,738)

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19.

Optimal Life-Cycle Consumption and Investment Decisions Under Age-Dependent Risk Preferences

A. Lichtenstern, P.V.Shevchenko, R. Zagst (2020). Optimal life-cycle consumption and investment decisions under age-dependent risk preferences. Mathematics and Financial Economics. DOI 10.1007/s11579-020-00276-9.
Number of pages: 39 Posted: 21 Nov 2018 Last Revised: 31 Jul 2020
Andreas Lichtenstern, Pavel V. Shevchenko and Rudi Zagst
Technische Universität München (TUM) - Chair of Mathematical Finance, Macquarie University - Department of Actuarial Studies and Business Analytics and Technische Universität München (TUM) - Chair of Mathematical Finance
Downloads 161 (340,615)
Citation 1

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optimal life-cycle consumption and investment, time-varying risk aversion, HARA utility function, martingale method

20.

Fast and Simple Method for Pricing Exotic Options Using Gauss-Hermite Quadrature on a Cubic Spline Interpolation

Journal of Financial Engineering, Vol. 1, No. 4 (31 pages), 2014. DOI: 10.1142/S2345768614500330
Number of pages: 32 Posted: 01 Nov 2014 Last Revised: 25 Jul 2015
Xiaolin Luo and Pavel V. Shevchenko
Government of the Commonwealth of Australia - CSIRO (Commonwealth Scientific and Industrial Research Organisation) and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 158 (345,991)
Citation 3

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exotic options, Gauss-Hermite quadrature, cubic spline, finite difference method, American option, Bermudan option, target accumulation redemption note

21.

Implementing Loss Distribution Approach for Operational Risk

Applied Stochastic Models in Business and Industry 26(3), pp. 277-307, 2010
Number of pages: 38 Posted: 22 Jan 2009 Last Revised: 04 Nov 2014
Pavel V. Shevchenko
Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 157 (347,880)

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operational risk, loss distribution approach, Bayesian inference, dependence modeling, Basel II

22.

Chain Ladder Method: Bayesian Bootstrap Versus Classical Bootstrap

Number of pages: 37 Posted: 05 Jun 2017
Gareth Peters, Mario V. Wuthrich and Pavel V. Shevchenko
University of California Santa Barbara, RiskLab, ETH Zurich and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 155 (351,665)
Citation 1

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claims reserving, distribution-free chain ladder, mean square error of prediction, Bayesian chain ladder, approximate Bayesian computation, Markov chain Monte Carlo, adaption, annealing, bootstrap

23.

Optimal annuitisation, housing and reverse mortgage in retirement in the presence of means-tested public pension

Number of pages: 36 Posted: 14 Jun 2017 Last Revised: 19 May 2021
Johan Andreasson and Pavel V. Shevchenko
University of Technology Sydney (UTS) and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 151 (359,268)
Citation 1

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Dynamic Programming, Stochastic Control, Optimal Policy, Retirement, Means-Tested Age Pension, Defined Contribution Pension

24.

Stochastic Period and Cohort Effect State-Space Mortality Models Incorporating Demographic Factors via Probabilistic Robust Principle Components

Number of pages: 92 Posted: 01 Jun 2017
School of Mathematical and Physical Sciences, University of Technology Sydney, University of California Santa Barbara, Commonwealth Bank of Australia and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 143 (375,327)
Citation 1

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Stochastic Mortality Models, Demographic, Factor Model, Feature Extraction, Robust Estimation

25.

A State-Space Estimation of the Lee-Carter Mortality Model and Implications for Annuity Pricing

Number of pages: 7 Posted: 07 Dec 2015
Simon Man Chung Fung, Gareth Peters and Pavel V. Shevchenko
Commonwealth Bank of Australia, University of California Santa Barbara and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 142 (377,395)
Citation 9

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Mortality modeling, longevity risk, Bayesian inference, Gibbs sampling, state-space models, life annuities

26.

Valuation of Barrier Options Using Sequential Monte Carlo

Journal of Computational Finance 2015
Number of pages: 30 Posted: 24 Nov 2014 Last Revised: 25 Jul 2015
Pavel V. Shevchenko and Pierre Del Moral
Macquarie University - Department of Actuarial Studies and Business Analytics and INRIA Bordeaux-Sud Ouest
Downloads 138 (385,860)
Citation 3

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Sequential Monte Carlo, particle methods, Feynman-Kac representation, barrier options, Monte Carlo, option pricing

27.

A Unified Approach to Mortality Modelling Using State-Space Framework: Characterisation, Identification, Estimation and Forecasting

Number of pages: 44 Posted: 31 May 2016
Simon Man Chung Fung, Gareth Peters and Pavel V. Shevchenko
Commonwealth Bank of Australia, University of California Santa Barbara and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 137 (388,060)
Citation 6

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mortality modelling, state-space model, stochastic volatility, heteroscedasticity, particle Markov chain Monte Carlo

28.

Cyber Risk Frequency, Severity and Insurance Viability

Number of pages: 42 Posted: 05 Nov 2021
University of New South Wales (UNSW) - School of Actuarial Studies, University of California Santa Barbara, Macquarie University - Department of Actuarial Studies and Business Analytics, Macquarie University Sydney - Department of Applied Finance and Actuarial Studies, Macquarie University, Macquarie Business School and Macquarie University - Department of Mathematics and Statistics
Downloads 134 (394,951)

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cyber risk, GAMLSS, cyber risk insurance, ordinal regression

29.

A 'Toy' Model for Operational Risk Quantification Using Credibility Theory

The Journal of Operational Risk 2(1), pp. 3-19, 2007
Number of pages: 18 Posted: 24 Nov 2014
Hans BuŸhlmann, Pavel V. Shevchenko and Mario V. Wuthrich
ETH Zurich - Department of Mathmatics, Macquarie University - Department of Actuarial Studies and Business Analytics and RiskLab, ETH Zurich
Downloads 120 (429,503)

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quantitative risk management, operational risk, loss distribution approach, credibility theory, combining different data sources, Basel II Advanced Measurement Approaches

30.

Optimal Insurance Purchase Strategies via Optimal Multiple Stopping Times

Number of pages: 26 Posted: 07 Oct 2014 Last Revised: 18 Feb 2015
Rodrigo Targino, Gareth Peters, Georgy Sofronov and Pavel V. Shevchenko
Getulio Vargas Foundation (FGV) - EMAp - School of Applied Mathematics, University of California Santa Barbara, Macquarie University - Department of Mathematics and Statistics and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 115 (443,392)

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Multiple stopping rules, Operational risk, Insurance

31.

Addressing the Bias in Monte Carlo Pricing of Multi-Asset Options with Multiple Barriers Through Discrete Sampling

The Journal of Computational Finance 6(3), pp.1-20, 2003.
Number of pages: 20 Posted: 23 Nov 2014
Pavel V. Shevchenko
Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 113 (449,284)

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Monte Carlo simulation, extreme values, Brownian Bridge, multi-asset barrier option, multi-variate joint distribution, Fréchet bounds

32.

Actuarial Applications and Estimation of Extended CreditRiskPlus

Number of pages: 34 Posted: 15 May 2015 Last Revised: 01 May 2017
Jonas Hirz, Uwe Schmock and Pavel V. Shevchenko
Boston Consulting Group, TU Wien and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 111 (455,314)

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stochastic mortality model; extended CreditRisk; risk aggregation; partial internal model; mortality risk; longevity risk; Markov chain Monte Carlo

33.

On the Parameter Estimation in the Schwartz-Smith’s Two-Factor Model

In Statistics and Data Science: Research School on Statistics and Data Science, RSSDS 2019, Melbourne, VIC, Australia, July 24–26, 2019, Proceedings 1 (pp. 226-237). Springer Singapore.
Number of pages: 14 Posted: 02 Sep 2021 Last Revised: 11 Sep 2023
Karol Binkowski, Peilun He, Nino Kordzakhia and Pavel V. Shevchenko
Macquarie University, Macquarie University - Department of Actuarial Studies and Business Analytics, Macquarie University and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 104 (477,280)
Citation 1

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Kalman Filter, parameter estimation, partially observed linear system

34.

Cyber Loss Model Risk Translates to Premium Mispricing and Risk Sensitivity

Number of pages: 30 Posted: 14 Mar 2022 Last Revised: 29 Mar 2023
University of California Santa Barbara, University of New South Wales (UNSW) - School of Actuarial Studies, Macquarie University - Department of Mathematics and Statistics, Macquarie University - Department of Actuarial Studies and Business Analytics, Macquarie University Sydney - Department of Applied Finance and Actuarial Studies and Macquarie University, Macquarie Business School
Downloads 99 (493,467)

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Cyber risk, cyber insurance, model risk, risk sensitivity, robust estimation, robust dependence estimation

35.

Impact of Insurance for Operational Risk: Is It Worthwhile to Insure or Be Insured for Severe Losses?

Number of pages: 64 Posted: 05 Jun 2017
Gareth Peters, Aaron Byrnes and Pavel V. Shevchenko
University of California Santa Barbara, University of New South Wales (UNSW) and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 94 (510,453)
Citation 7

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Operational Risk, Loss Distributional Approach, Insurance Mitigation, Capital Reduction, α-Stable, Basel II, Solvency II

36.

Infection Rate Models for COVID-19: Model Risk and Public Health News Sentiment Exposure Adjustments.

Number of pages: 34 Posted: 14 Apr 2021
Ioannis Chalkiadakis, Hongxuan Yan, Gareth Peters and Pavel V. Shevchenko
Institut des Systèmes Complexes de Paris Île-de-France / CNRS - UAR 3611, The University of Sydney - School of Mathematics and Statistics, University of California Santa Barbara and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 88 (532,073)
Citation 1

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COVID-19, GLARMA, growth models, model risk, natural language processing, sentiment analysis

37.

Analytic Loss Distributional Approach Models for Operational Risk from the Α-Stable Doubly Stochastic Compound Processes and Implications for Capital Allocation

Number of pages: 29 Posted: 05 Jun 2017
Gareth Peters, Pavel V. Shevchenko, Mark Young and Wendy Yip
University of California Santa Barbara, Macquarie University - Department of Actuarial Studies and Business Analytics, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 86 (539,619)
Citation 1

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Operational Risk, Loss Distributional Approach, Doubly stochastic Poisson Process, α-Stable, Basel II, Solvency II

38.

Supplementary Material: Which Risk Factors Drive Oil Futures Price Curves?

Number of pages: 18 Posted: 16 Jan 2019
The Institute of Statistical MathematicsResilientML, ESC Rennes School of Business, The Institute of Statistical Mathematics, University of California Santa Barbara and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 84 (547,401)

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Crude oil, Short-term factor, Long-term factor, Hybrid Multi-Factor model, Macroeconomical factors, Term structure

39.

Historical Backtesting of Local Volatility Model Using AUD/USD Vanilla Options

Number of pages: 23 Posted: 07 Dec 2015
Timothy Ling and Pavel V. Shevchenko
University of Technology Sydney (UTS) and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 82 (555,443)

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local volatility model, backtesting, model validation, foreign exchange options, implied volatility

40.

Valuation of Variable Annuities with Guaranteed Minimum Withdrawal Benefit Under Stochastic Interest Rate

Number of pages: 32 Posted: 11 Feb 2016 Last Revised: 15 Jan 2017
Pavel V. Shevchenko and Xiaolin Luo
Macquarie University - Department of Actuarial Studies and Business Analytics and Government of the Commonwealth of Australia - CSIRO (Commonwealth Scientific and Industrial Research Organisation)
Downloads 81 (559,558)
Citation 3

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Variable Annuity, Stochastic Interest Rate, Optimal Stochastic Control, Guaranteed Minimum Withdrawal Benefit, products for retirees

41.

Life Cycle Insurance, Bequest Motives and Annuity Loads

Journal of Economic Dynamics and Control, Forthcoming
Number of pages: 43 Posted: 25 Feb 2023 Last Revised: 11 Oct 2023
Vienna University of Technology - Financial and Actuarial Mathematics Research Group, Financial Research Network (FIRN)Macquarie University, Macquarie Business School and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 80 (563,699)

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Life insurance, life annuities, life cycle model, age-varying bequest motives, insurance loads, bid-ask spreads, incomplete markets, deep annuity puzzle

42.

Optimal Consumption, Investment and Housing with Means-Tested Public Pension in Retirement

Number of pages: 28 Posted: 28 Jun 2016 Last Revised: 06 May 2018
Johan Andreasson, Pavel V. Shevchenko and Alex Novikov
University of Technology Sydney (UTS), Macquarie University - Department of Actuarial Studies and Business Analytics and University of Technology Sydney (UTS)
Downloads 78 (571,894)
Citation 5

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Dynamic programming, Stochastic control, Optimal policy, Retirement, Means-tested age pension, Defined contribution pension

43.

Optimal Annuitisation, Housing Decisions and Means-Tested Public Pension in Retirement Under Expected Utility Stochastic Control Framework

Macquarie University Faculty of Business & Economics Research Paper
Number of pages: 30 Posted: 21 May 2018 Last Revised: 23 Dec 2018
Johan Andreasson and Pavel V. Shevchenko
University of Technology Sydney (UTS) and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 77 (576,209)
Citation 3

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Dynamic programming, stochastic control, optimal policy, retirement, means-tested age pension, defined contribution pension

44.

Markov Chain Monte Carlo Estimation of Default and Recovery: Dependent via the Latent Systematic Factor

Journal of Credit Risk 9(3), pp. 41-76, 2013
Number of pages: 39 Posted: 01 Nov 2014 Last Revised: 04 Nov 2014
Xiaolin Luo and Pavel V. Shevchenko
Government of the Commonwealth of Australia - CSIRO (Commonwealth Scientific and Industrial Research Organisation) and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 77 (576,209)
Citation 2

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parameter uncertainty, probability of default, loss given default, economic capital, Markov chain Monte Carlo, Bayesian inference, credit risk

45.

Pricing TARN Using a Finite Difference Method

Journal of Derivatives, Vol. 23, No. 1, pages 62-72, 2015
Number of pages: 17 Posted: 01 Nov 2014 Last Revised: 06 Dec 2015
Xiaolin Luo and Pavel V. Shevchenko
Government of the Commonwealth of Australia - CSIRO (Commonwealth Scientific and Industrial Research Organisation) and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 77 (576,209)
Citation 1

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Target Accumulation Redemption Note, option pricing, finite difference, Monte Carlo

46.

Assessment of Policy Changes to Means-Tested Age Pension Using Expected Utility Model: Implication for Decisions in Retirement

Number of pages: 21 Posted: 05 Jun 2017 Last Revised: 15 Sep 2017
Johan Andreasson and Pavel V. Shevchenko
University of Technology Sydney (UTS) and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 73 (593,750)
Citation 2

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Dynamic Programming, Stochastic Control, Optimal Policy, Retirement, Means-Tested Age Pension, Defined Contribution Pension

47.

A Note on the Impact of Management Fees on the Pricing of Variable Annuity Guarantees

Number of pages: 23 Posted: 13 May 2017
Jin Sun, Pavel V. Shevchenko and Simon Man Chung Fung
University of Technology Sydney (UTS), Macquarie University - Department of Actuarial Studies and Business Analytics and Commonwealth Bank of Australia
Downloads 71 (602,886)
Citation 1

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Variable Annuity Guarantees, Guaranteed Minimum Withdrawal Benefits, Management Fees, Stochastic Optimal Control, PDE, Finite Difference

48.

From 'Funny Time, Funny Money' to Realistic Labour Times

Applied Probability Trust: The Mathematical Scientist 40 (2), 2015
Number of pages: 13 Posted: 22 Sep 2014 Last Revised: 06 Dec 2015
Xiaolin Luo, Pavel V. Shevchenko and Brad Sayer
Government of the Commonwealth of Australia - CSIRO (Commonwealth Scientific and Industrial Research Organisation), Macquarie University - Department of Actuarial Studies and Business Analytics and Insurance Australia Group
Downloads 63 (641,760)

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motor vehicle insurance, smash repair, paint labour time, New Times and Rates (NTAR) system, linear regression

49.

Fair Pricing of Variable Annuities with Guarantees under the Benchmark Approach

Number of pages: 22 Posted: 13 Jun 2019
Jin Sun, Kevin Fergusson, Eckhard Platen and Pavel V. Shevchenko
University of Technology Sydney (UTS), University of Melbourne - Centre for Actuarial Studies, University of Technology, Sydney (UTS) - Finance Discipline Group and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 61 (652,207)

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variable annuity guarantee, stochastic optimal control, stochastic reserve, benchmark approach

50.

Fast Numerical Method for Pricing of Variable Annuities with Guaranteed Minimum Withdrawal Benefit Under Optimal Withdrawal Strategy

International Journal of Financial Engineering 2(3), [26 pages], 2015, DOI: 10.1142/S2424786315500243
Number of pages: 24 Posted: 01 Nov 2014 Last Revised: 06 Dec 2015
Xiaolin Luo and Pavel V. Shevchenko
Government of the Commonwealth of Australia - CSIRO (Commonwealth Scientific and Industrial Research Organisation) and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 61 (652,207)
Citation 4

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Variable Annuity, Optimal Stochastic Control, Guaranteed Minimum Withdrawal Benefit, Gauss-Hermite Quadrature, Cubic Spline

51.

Crunching Mortality and Life Insurance Portfolios with Extended CreditRisk

Number of pages: 19 Posted: 19 Jan 2016 Last Revised: 20 Dec 2016
Jonas Hirz, Uwe Schmock and Pavel V. Shevchenko
Boston Consulting Group, TU Wien and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 60 (657,601)
Citation 1

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Stochastic mortality, mortality trends, cohort effects, extended CreditRisk, Markov chain Monte Carlo, regularisation via prior distribution, risk aggregation, annuity portfolios, partial internal model, underwriting risk module

52.

Variable Annuity with GMWB: Surrender Or Not, That Is the Question

Number of pages: 7 Posted: 26 Jul 2015
Xiaolin Luo and Pavel V. Shevchenko
Government of the Commonwealth of Australia - CSIRO (Commonwealth Scientific and Industrial Research Organisation) and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 60 (657,601)
Citation 4

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Variable annuity, optimal stochastic control, optimal stopping time, bang-bang control, Guaranteed Minimum Withdrawal Benefit, surrender option, Gauss-Hermite quadrature, cubic spline

53.

Valuation of Variable Annuities with Guaranteed Minimum Withdrawal and Death Benefits via Stochastic Control Optimization

Insurance: Mathematics and Economics, Vol. 62 (2015), pp. 5-15
Number of pages: 31 Posted: 21 Nov 2014 Last Revised: 25 Jul 2015
Xiaolin Luo and Pavel V. Shevchenko
Government of the Commonwealth of Australia - CSIRO (Commonwealth Scientific and Industrial Research Organisation) and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 59 (662,931)
Citation 6

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Variable Annuity, Optimal Stochastic Control, Guaranteed Minimum Withdrawal Benefit, Guaranteed Minimum Death Benefit, Mortality Risk

54.

Multi-Factor Polynomial Diffusion Models and Inter-Temporal Futures Dynamics

Number of pages: 20 Posted: 23 Jun 2023
Peilun He, Nino Kordzakhia, Gareth Peters and Pavel V. Shevchenko
Macquarie University - Department of Actuarial Studies and Business Analytics, Macquarie University, University of California Santa Barbara and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 52 (702,816)

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Polynomial Diffusion, Future Dynamics, Multi-Factor Models

55.

A Unified Pricing of Variable Annuity Guarantees Under the Optimal Stochastic Control Framework

P.V. Shevchenko and X. Luo (2016). A unified pricing of variable annuity guarantees under the optimal stochastic control framework. Risks 4(3), 22:1-22:31, doi:10.3390/risks4030022
Number of pages: 37 Posted: 03 May 2016 Last Revised: 02 May 2017
Pavel V. Shevchenko and Xiaolin Luo
Macquarie University - Department of Actuarial Studies and Business Analytics and Government of the Commonwealth of Australia - CSIRO (Commonwealth Scientific and Industrial Research Organisation)
Downloads 51 (709,061)
Citation 6

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variable annuity, guaranteed living and death benefits, guaranteed minimum accumulation benefit, optimal stochastic control, direct integration method

56.

The 2015-2017 Policy Changes to the Means-Tests of Australian Age Pension: Implication to Decisions in Retirement

Number of pages: 18 Posted: 28 Nov 2016
Johan Andreasson and Pavel V. Shevchenko
University of Technology Sydney (UTS) and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 43 (761,425)

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Dynamic Programming, Stochastic Control, Optimal Policy, Retirement, Means-Tested Age Pension, Defined Contribution Pension

57.

Forecasting Leading Death Causes in Australia Using Extended CreditRisk+

Number of pages: 7 Posted: 27 Jul 2015
Pavel V. Shevchenko, Jonas Hirz and Uwe Schmock
Macquarie University - Department of Actuarial Studies and Business Analytics, Boston Consulting Group and TU Wien
Downloads 42 (768,374)
Citation 4

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Extended CreditRisk, stochastic mortality model, life tables, annuity portfolios, life insurance portfolios, longevity risk, risk management, estimation of extended CreditRisk, Markov chain

58.

Optimal Investment-Consumption-Insurance with Durable and Perishable Consumption Goods in a Jump Diffusion Market

Number of pages: 24 Posted: 25 Mar 2019
Jin Sun, Ryle Perera and Pavel V. Shevchenko
University of Technology Sydney (UTS), Macquarie University and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 37 (805,321)

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optimal stochastic control, durable goods, jump-diffusion market, insurance, optimal impulse control, intervention value, stopping time iteration

59.

Parsimonious Feature Extraction Methods: Extending Robust Probabilistic Projections with Generalized Skew-t

Number of pages: 39 Posted: 12 Nov 2020
Dorota Toczydlowska, Gareth Peters and Pavel V. Shevchenko
School of Mathematical and Physical Sciences, University of Technology Sydney, University of California Santa Barbara and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 34 (828,999)
Citation 1

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Probabilistic PCA; Feature Extraction; EM Algorithm; Robust Orthogonal Projections; Asymmetric T-Copulas; Skew T-Copula; Grouped T-Copula; Missing Data; Tail Dependence; Dependence Modelling; Cryptocurrencies

60.

Bayesian Model Choice of Grouped T-Copula

Methodology and Computing in Applied Probability 14(4), pp. 1097-1119, 2012, DOI 10.1007/s11009-011-9220-4
Number of pages: 37 Posted: 29 Nov 2014
Xiaolin Luo and Pavel V. Shevchenko
Government of the Commonwealth of Australia - CSIRO (Commonwealth Scientific and Industrial Research Organisation) and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 34 (828,999)
Citation 1

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grouped t¡copula, dependence modeling, Bayesian model choice, Markov chain Monte Carlo, foreign exchange

61.

The Impact of Model Risk on Dynamic Portfolio Selection Under Multi-Period Mean-Standard-Deviation Criterion

European Journal of Operational Research (2018), doi: 10.1016/j.ejor.2018.08.026
Number of pages: 33 Posted: 13 Oct 2018
Spiridon Penev, Pavel V. Shevchenko and Wei Wu
University of New South Wales (UNSW) - School of Mathematics, Macquarie University - Department of Actuarial Studies and Business Analytics and University of New South Wales (UNSW) - School of Mathematics and Statistics
Downloads 32 (845,322)
Citation 1

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Uncertainty Modelling, Robust Portfolio Allocation, Multivariate Statistics, Pseudo Dynamic Programming, Mean-Standard-Deviation, Kullback-Leibler Divergence

62.

On Correlated Measurement Errors in the Schwartz-Smith Two-Factor Model

Han, Jun S., Kordzakhia, Nino, Shevchenko, Pavel V. and Trück, Stefan. "On Correlated Measurement Errors in the Schwartz-Smith Two-Factor Model" Dependence Modeling, vol. 10, no. 1, 2022, pp. 108-122. https://doi.org/10.1515/demo-2022-0106
Number of pages: 19 Posted: 08 Jun 2022
Jun Han, Nino Kordzakhia, Pavel V. Shevchenko and Stefan Trück
Macquarie University, Macquarie University, Macquarie University - Department of Actuarial Studies and Business Analytics and Macquarie University Sydney - Department of Applied Finance and Actuarial Studies
Downloads 31 (853,682)

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Kalman filter, pricing, futures, commodity, CO2 emission allowances, correlation, maximum likelihood estimation, linear state-space model

63.

PDSim: A Shiny App for Polynomial Diffusion Model Simulation and Estimation

Number of pages: 6 Posted: 06 Jul 2023
Peilun He, Nino Kordzakhia, Gareth Peters and Pavel V. Shevchenko
Macquarie University - Department of Actuarial Studies and Business Analytics, Macquarie University, University of California Santa Barbara and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 29 (870,939)

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polynomial diffusion model, state-space model, Kalman Filter, shiny applcation

64.

Myopic Robust Index Tracking with Bregman Divergence

Quantitative Finance 2021, https://doi.org/10.1080/14697688.2021.1950918
Number of pages: 26 Posted: 27 Aug 2021
Spiridon Penev, Pavel V. Shevchenko and Wei Wu
University of New South Wales (UNSW) - School of Mathematics, Macquarie University - Department of Actuarial Studies and Business Analytics and University of New South Wales (UNSW) - School of Mathematics and Statistics
Downloads 29 (870,939)
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65.

Actuarial Applications and Estimation of Extended CreditRiskPlus

Number of pages: 34 Posted: 15 May 2015
Jonas Hirz, Uwe Schmock and Pavel V. Shevchenko
Boston Consulting Group, TU Wien and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 29 (870,939)
Citation 7

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stochastic mortality model; extended CreditRisk; risk aggregation; partial internal model; mortality risk; longevity risk; Markov chain Monte Carlo

66.

Impact of COVID-19 Type Events on the Economy and Climate Under the Stochastic DICE Model

Number of pages: 22 Posted: 02 Nov 2021
Pavel V. Shevchenko, Daisuke Murakami, Tomoko Matsui and Tor Myrvoll
Macquarie University - Department of Actuarial Studies and Business Analytics, University of Tsukuba - Graduate School of Systems and Information Engineering, The Institute of Statistical Mathematics and Norwegian University of Science and Technology (NTNU)
Downloads 25 (907,259)
Citation 1

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Dynamic Integrated Climate-Economy model, climate change, optimal con- trol, carbon emission, COVID-19, stochastic DICE model

67.

Организация и технологии антикризисного социального управления (Organization and Techniques of Crisis Management)

Number of pages: 285 Posted: 16 Jun 2020
Russian Academy of National Economy and Public Administration under the President of the Russian Federation (RANEPA), Russian Academy of National Economy and Public Administration under the President of the Russian Federation (RANEPA), Russian Academy of National Economy and Public Administration under the President of the Russian Federation (RANEPA), Russian Academy of National Economy and Public Administration under the President of the Russian Federation (RANEPA) - Institute of Public Administration and Management, Russian Academy of National Economy and Public Administration under the President of the Russian Federation (RANEPA), Russian Academy of National Economy and Public Administration under the President of the Russian Federation (RANEPA), affiliation not provided to SSRN, Russian Presidential Academy of National Economy and Public Administration, affiliation not provided to SSRN, Russian Academy of National Economy and Public Administration under the President of the Russian Federation (RANEPA) and Macquarie University - Department of Actuarial Studies and Business Analytics
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АНТИКРИСНОЕ СОЦИАЛЬНОЕ УПРАВЛЕНИЕ, CRISIS SOCIAL MANAGEMENT, СОЦИАЛЬНОЕ УПРАВЛЕНИЕ, SOCIAL MANAGEMENT, ДИАГНОСТИКА КРИЗИСНЫХ ПРОЦЕССОВ, DIAGNOSIS OF THE CRISIS PROCESSES, ИНФОРМАЦИОННЫЕ МЕХАНИЗМЫ УПРАВЛЕНИЯ, INFORMATION MECHANISMS OF MANAGEMENT, СОЦИАЛЬНОЕ ПАРТНЕРСТВО, SOCIAL PARTNERSHIP,

68.

On Modelling of Crude Oil Futures in a Bivariate State-Space Framework

In Mathematical and Statistical Methods for Actuarial Sciences and Finance: eMAF2020 (pp. 273-278). Springer International Publishing.
Number of pages: 6 Posted: 04 Aug 2021 Last Revised: 28 Jun 2023
Peilun He, Karol Binkowski, Nino Kordzakhia and Pavel V. Shevchenko
Macquarie University - Department of Actuarial Studies and Business Analytics, Macquarie University, Macquarie University and Macquarie University - Department of Actuarial Studies and Business Analytics
Downloads 17 (987,085)

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Kalman Filter, Kalman Smoother, state-space model, crude oil futures

69.

Optimal Dynamic Climate Adaptation Pathways: A Case Study of New York City

UNSW Business School Research Paper Forthcoming
Number of pages: 29 Posted: 16 Feb 2024
Chi Truong, Matteo Malavasi, Han Li, Stefan Trück and Pavel V. Shevchenko
Macquarie University, University of New South Wales (UNSW) - School of Actuarial Studies, The University of Melbourne, Faculty of Business and Economics, Department of Economics, Macquarie University Sydney - Department of Applied Finance and Actuarial Studies and Macquarie University - Department of Actuarial Studies and Business Analytics
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Climate change, Real option analysis, Flood risk, Sea level rise, Adaptation

70.

(Anti-Crisis Social Strategies) Антикризисные Социальные Стратегии

(2004) Moscow: Prospect) DOI 10.18411/Vasilenko-2-15.
Posted: 27 Apr 2020
Russian Academy of National Economy and Public Administration under the President of the Russian Federation (RANEPA), Russian Academy of National Economy and Public Administration under the President of the Russian Federation (RANEPA), Russian Academy of National Economy and Public Administration under the President of the Russian Federation (RANEPA), Russian Academy of National Economy and Public Administration under the President of the Russian Federation (RANEPA), Russian Academy of National Economy and Public Administration under the President of the Russian Federation (RANEPA) - Institute of Public Administration and Management, affiliation not provided to SSRN, Russian Academy of National Economy and Public Administration under the President of the Russian Federation (RANEPA), Macquarie University - Department of Actuarial Studies and Business Analytics, Russian Academy of National Economy and Public Administration under the President of the Russian Federation (RANEPA), Russian Academy of National Economy and Public Administration under the President of the Russian Federation (RANEPA)Russian Academy of National Economy and Public Administration under the President of the Russian Federation (RANEPA) and affiliation not provided to SSRN

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Crisis, АНТИКРИЗИСНОЕ УПРАВЛЕНИЕ, Crisis Management, СТРАТЕГИЯ, Strategy, ТАКТИКА, Tactics, СОЦИАЛЬНО-ЭКОНОМИЧЕКАЯ СТРАТЕГИЯ, Socio-economic Strategy, ИНФОРМАЦИОННАЯ СТРАТЕГИЯ, Information Strategy, ЭКОЛОГИЧЕСКАЯ СТРАТЕГИЯ, Environmental Strategy, ДЕМОГРАФИЧЕСКАЯ СТРАТЕГИЯ, Demographic Strategy

71.

Advances in Heavy Tailed Risk Modeling: A Handbook of Operational Risk

Advances in Heavy Tailed Risk Modeling: A Handbook of Operational Risk, Hoboken, Wiley (2015), 627 pages. ISBN: 978-1-118-90953-9
Posted: 29 Jul 2015
Gareth Peters and Pavel V. Shevchenko
University of California Santa Barbara and Macquarie University - Department of Actuarial Studies and Business Analytics

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operational risk, insurance, heavy tailed risk modelling

72.

Fundamental Aspects of Operational Risk and Insurance Analytics: A Handbook of Operational Risk

Fundamental Aspects of Operational Risk and Insurance Analytics: A Handbook of Operational Risk, Hoboken, Wiley (2015), 899 pages.
Posted: 29 Jul 2015
Marcelo Cruz, Gareth Peters and Pavel V. Shevchenko
New York University (NYU) - Leonard N. Stern School of Business, University of California Santa Barbara and Macquarie University - Department of Actuarial Studies and Business Analytics

Abstract:

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operational risk, insurance, risk modelling

73.

Calibration and Filtering for Multi Factor Commodity Models with Seasonality: Incorporating Panel Data from Futures Contracts

Methodology and Computing in Applied Probability 15(4), pp. 841-874, December 2013, DOI 10.1007/s11009-012-9286-7
Posted: 29 Nov 2014
Gareth Peters, Mark Briers, Pavel V. Shevchenko and Arnaud Doucet
University of California Santa Barbara, QinetiQ Ltd, Macquarie University - Department of Actuarial Studies and Business Analytics and University of Cambridge - Department of Engineering

Abstract:

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Multi-factor, Commodity, spot price, Stochastic volatility, Milstein, Adaptive Markov chain Monte Carlo, Particle filter, Rao-Blackwellization

74.

Model Uncertainty in Claims Reserving within Tweedie's Compound Poisson Models

ASTIN Bulletin 39(1), pp.1-33, 2009
Posted: 23 Nov 2014
Gareth Peters, Pavel V. Shevchenko and Mario V. Wuthrich
University of California Santa Barbara, Macquarie University - Department of Actuarial Studies and Business Analytics and RiskLab, ETH Zurich

Abstract:

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Claims reserving, model uncertainty, Tweedie's compound Poisson model, Bayesian analysis, model selection, model averaging, Markov chain Monte Carlo

75.

Modelling Operational Risk Using Bayesian Inference

Springer, Berlin, 2011
Posted: 07 Sep 2011 Last Revised: 29 Nov 2014
Pavel V. Shevchenko
Macquarie University - Department of Actuarial Studies and Business Analytics

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Operational risk, Quantitative risk management, Bayesian inference, Loss distribution approach, Markov chain Monte Carlo

76.

Estimation of Operational Risk Capital Charge under Parameter Uncertainty

The Journal of Operational Risk, Vol. 3, No. 1, pp. 51-63, Spring 2008
Posted: 15 Jan 2009
Pavel V. Shevchenko
Macquarie University - Department of Actuarial Studies and Business Analytics

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quantitative risk management, operational risk, loss distribution approach, Bayesian inference, parameter uncertainty, Basel II

77.

Addressing Impact of Truncation and Parameter Uncertainty on Operational Risk Estimates

The Journal of Operational Risk, Vol. 2, No. 4, pp. 3-26, 2007
Posted: 15 Jan 2009 Last Revised: 04 Nov 2014
Xiaolin Luo, Pavel V. Shevchenko and John Donnelly
Government of the Commonwealth of Australia - CSIRO (Commonwealth Scientific and Industrial Research Organisation), Macquarie University - Department of Actuarial Studies and Business Analytics and affiliation not provided to SSRN

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operational risk, truncated data, Poisson-Lognormal compound distribution, loss distribution approach

Other Papers (1)

Total Downloads: 0
1.

Consistently Combining Multi-Factor Stochastic Oil Commodity Models with Observed Exogenous Explanatory Regression Factors: Perspectives from Speculators and Hedgers

Posted: 20 Sep 2016
The Institute of Statistical MathematicsResilientML, University of California Santa Barbara, ESC Rennes School of Business, Macquarie University - Department of Actuarial Studies and Business Analytics and The Institute of Statistical Mathematics

Abstract:

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Crude Oil, Short-Term and Long-Term Factors, Macroeconomical Factors, Risk Premium, Term Structure