Measuring equity risk premium and risk aversion in the US.
In our project, we estimated the time series of risk aversion using annual data for the U.S. We use the time varying parameter GARCH-M model, proposed by [Chou et al., 1992] for the estimation. The S&P 500 stock index was used as the market index; and constant maturity 10-year T-Bonds as well a...
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sg-ntu-dr.10356-104042023-05-19T06:24:06Z Measuring equity risk premium and risk aversion in the US. Chong, Hui Han. Thng, Anthony Lian Guan. Soo, Jia Hao. Shrestha, Keshab Man Nanyang Business School DRNTU::Business::Finance::Equity In our project, we estimated the time series of risk aversion using annual data for the U.S. We use the time varying parameter GARCH-M model, proposed by [Chou et al., 1992] for the estimation. The S&P 500 stock index was used as the market index; and constant maturity 10-year T-Bonds as well as T-Bills yields were used to represent the risk-free rate. The excess return using T-Bonds covered the period from 1906 to 2005 (100 years worth of data). While, the excess return using T-Bills covered the period from 1921 to 2005. We attempt to estimate and analyze the historical time series of risk aversion over a long time period using as long series data as possible. In the analysis, we want to test to see if the risk aversion is constant over time. We also want to compare our results with that of [Chou et al., 1992] to see if there are any significant differences. Since their study used monthly data and we use annual data, any difference could be due to the fact that the nature of risk aversion may depend on the investment horizon. 2008-09-24T07:43:18Z 2008-09-24T07:43:18Z 2007 2007 Final Year Project (FYP) http://hdl.handle.net/10356/10404 Nanyang Technological University application/pdf |
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DRNTU::Business::Finance::Equity Chong, Hui Han. Thng, Anthony Lian Guan. Soo, Jia Hao. Measuring equity risk premium and risk aversion in the US. |
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In our project, we estimated the time series of risk aversion using annual data for the U.S. We use the time varying parameter GARCH-M model, proposed by [Chou et al., 1992] for the estimation. The S&P 500 stock index was used as the market index; and constant maturity 10-year T-Bonds as well as T-Bills yields were used to represent the risk-free rate. The excess return using T-Bonds covered the period from 1906 to 2005 (100 years worth of data). While, the excess return using T-Bills covered the period from 1921 to 2005.
We attempt to estimate and analyze the historical time series of risk aversion over a long time period using as long series data as possible. In the analysis, we want to test to see if the risk aversion is constant over time. We also want to compare our results with that of [Chou et al., 1992] to see if there are any significant differences. Since their study used monthly data and we use annual data, any difference could be due to the fact that the nature of risk aversion may depend on the investment horizon. |
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Shrestha, Keshab Man |
author_facet |
Shrestha, Keshab Man Chong, Hui Han. Thng, Anthony Lian Guan. Soo, Jia Hao. |
format |
Final Year Project |
author |
Chong, Hui Han. Thng, Anthony Lian Guan. Soo, Jia Hao. |
author_sort |
Chong, Hui Han. |
title |
Measuring equity risk premium and risk aversion in the US. |
title_short |
Measuring equity risk premium and risk aversion in the US. |
title_full |
Measuring equity risk premium and risk aversion in the US. |
title_fullStr |
Measuring equity risk premium and risk aversion in the US. |
title_full_unstemmed |
Measuring equity risk premium and risk aversion in the US. |
title_sort |
measuring equity risk premium and risk aversion in the us. |
publishDate |
2008 |
url |
http://hdl.handle.net/10356/10404 |
_version_ |
1770567488012025856 |