Abstract

 


 



Extraction of Economies Aggregate Expectations, Using a Modified Yield Spread Approach


Gal Zahavi


Technion-Israel Institute of Technology - The William Davidson Faculty of Industrial Engineering & Management

Tzachi Perry


Independent

Denis Geidman


Independent

October 2, 2011


Abstract:     
We present a unified approach for extracting future expectations, regarding economic activity, from various debt instruments. Our approach is based on former findings about the predictive powers of the yield spread (long-term yields minus short-term yields on government bonds), in some countries like USA and Germany. Because of the incompatibility of the yield spread for forecasting economic activity in other countries, a more robust method, that will fit any economy, is needed.

We developed an optimization method for finding an economy specific typical portfolio that represents the markets aggregate expectations regarding future economic growth.

Our optimization method gave an improvement over the classical yield spread, in predicting future economic growth, and was able to predict growth levels even in countries where the yield spread wasn't able to do so with acceptable significance levels.

Number of Pages in PDF File: 41

Keywords: inverted yield curve, yield curve, spread, forecast, predict, recession, economic growth, optimization

JEL Classification: E47

working papers series


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Date posted: May 20, 2012 ; Last revised: February 20, 2013

Suggested Citation

Zahavi, Gal, Perry, Tzachi and Geidman, Denis, Extraction of Economies Aggregate Expectations, Using a Modified Yield Spread Approach (October 2, 2011). Available at SSRN: http://ssrn.com/abstract=2061567

Contact Information

Gal Zahavi
Technion-Israel Institute of Technology - The William Davidson Faculty of Industrial Engineering & Management ( email )
Technion City
Haifa 32000
Israel
+972-52-2381117 (Phone)
HOME PAGE: http://www.financial-engineering-lab.org/
Tzachi Perry (Contact Author)
Independent ( email )
No Address Available
Denis Geidman
Independent ( email )
No Address Available
Feedback to SSRN (Beta)


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