Future of Bitcoin & Statistical Probabilistic Quantitative Methods: Global Financial Regulation (Interview: Hong Kong Institute of CPAs)

Global official magazine of the Hong Kong Institute of Certified Public Accountants, 2014

6 Pages Posted: 12 Feb 2017

See all articles by Yogesh Malhotra

Yogesh Malhotra

Global Risk Management Network, LLC; Amazon Web Services Partner

Date Written: January 20, 2014

Abstract

Recently, such probabilistic, statistical, and numerical methods related concerns are in globally popular press related to cybersecurity controls and compliance. Earlier, similar probabilistic, statistical, and numerical methods related concerns were in the global popular press in the context of the global financial crisis. Future questions focused on the underlying assumptions and logic may focus on related implications for compliance, controls, valuation, risk management, etc. Likewise, recent developments about mathematical entropy measures shedding new light on apparently greater vulnerability of prior encryption mechanisms may offer additional insights for compliance and control experts. For instance, given related mathematical, statistical and numerical frameworks, analysis may also focus on potential implications for pricing, valuation and risk models. The important point is that many such fundamental assumptions and logic underlying widely used probabilistic, statistical, and numerical methods may not as readily meet the eye.

Keywords: Bitcoin, Statistical Probabilistic Quantitative Methods, Global Financial Regulation, Cybersecurity, Controls, Accounting, Auditing, Valuation, Risk Management, Compliance, Global Financial Crisis, Cyber Finance Crisis, Encryption Mechanisms, Mathematical Entropy, Cryptography, Vulnerabilities

Suggested Citation

Malhotra, Yogesh, Future of Bitcoin & Statistical Probabilistic Quantitative Methods: Global Financial Regulation (Interview: Hong Kong Institute of CPAs) (January 20, 2014). Global official magazine of the Hong Kong Institute of Certified Public Accountants, 2014, Available at SSRN: https://ssrn.com/abstract=2911645

Yogesh Malhotra (Contact Author)

Global Risk Management Network, LLC ( email )

New Hartford, NY 13413
United States
+1-(646) 801-3644 (Phone)

HOME PAGE: http://YogeshMalhotra.com/

Amazon Web Services Partner ( email )

United States

HOME PAGE: http://yogeshmalhotra.com/

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