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Forecasting systematic risk by Least Angel Regression, AdaBoost and Kernel Ridge Regression

Author

Listed:
  • Mahdi Salehi
  • Mahdi Moradi
  • Samaneh Molaei

Abstract

In according to importance of risk in financial decision and investment is one of issue that helps to investors is existing tools and appropriate models in order to predict systematic risk. Aim of this research was forecasting systematic risk of companies admitted at Tehran stock Exchange by Least Angel Regression (LARS), AdaBoost and Kernel Ridge Regression (KRR) and comparing ability of the algorithms in order to find the best methods of the test. In this study the financial data of (1159 observations) during 2005-2014. We used MATLAB software vision (R2013b). Results indicated that Kernel Ridge Regression (KRR) with 9.65% error (90.35% confidence) in comparison with Least Angel Regression (LARS) with 12.15% error (87.85% confidence) and AdaBoost with 28.91% error (71.09 confidence) has more ability for forecasting systematic risk. Moreover, ability of forecasting systematic risk in Least Angel Regression (LARS) is more than AdaBoost.

Suggested Citation

  • Mahdi Salehi & Mahdi Moradi & Samaneh Molaei, 2015. "Forecasting systematic risk by Least Angel Regression, AdaBoost and Kernel Ridge Regression," Modern Applied Science, Canadian Center of Science and Education, vol. 9(11), pages 135-135, October.
    • Handle: RePEc:ibn:masjnl:v:9:y:2015:i:11:p:135
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    References listed on IDEAS

    as
    1. Luc Laeven & Lev Ratnovski & Hui Tong, 2014. "Bank Size and Systemic Risk," IMF Staff Discussion Notes 14/4, International Monetary Fund.
    2. Veliyath, Rajaram & Ferris, Stephen P., 1997. "Agency influences on risk reduction and operating performance: An empirical investigation among strategic groups," Journal of Business Research, Elsevier, vol. 39(3), pages 219-230, July.
    3. Gwangheon Hong & Sudipto Sarkar, 2007. "Equity Systematic Risk (Beta) and Its Determinants," Contemporary Accounting Research, John Wiley & Sons, vol. 24(2), pages 423-466, June.
    4. repec:imf:imfsdn:2014/004 is not listed on IDEAS
    5. Mark Kroll & Peter Wright & Richard A. Heiens, 1999. "The contribution of product quality to competitive advantage: impacts on systematic variance and unexplained variance in returns," Strategic Management Journal, Wiley Blackwell, vol. 20(4), pages 375-384, April.
    6. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    7. Mandelker, Gershon N. & Rhee, S. Ghon, 1984. "The Impact of the Degrees of Operating and Financial Leverage on Systematic Risk of Common Stock," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 19(1), pages 45-57, March.
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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