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Time variation paths of factors affecting financial institutions and stock returns

  • Ling He
  • Alan Reichert
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    This study finds evidence that three risk factors relating to the stock market, bond market, and real estate market are important in explaining the risk premiums included in financial institutions and bank stock returns. Stock returns for insurance companies are not sensitive to changes in the bond market. The Flexible Least Squares (FLS) results indicate that the stock market factor has the most important and stable impact on risk premiums for financial institutions, banks, and insurance companies. The bond market is the primary source of instability in stock returns for these three groups of stocks. This research adds further support for using market discipline, especially as it relates to equity returns to enhance the prudential regulation of the financial sector. Copyright International Atlantic Economic Society 2003

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    File URL: http://hdl.handle.net/10.1007/BF02298464
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    Article provided by International Atlantic Economic Society in its journal Atlantic Economic Journal.

    Volume (Year): 31 (2003)
    Issue (Month): 1 (March)
    Pages: 71-86

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    Handle: RePEc:kap:atlecj:v:31:y:2003:i:1:p:71-86
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    1. Robert A. Eisenbeis & Myron L. Kwast, 1989. "Are real estate specializing depositories viable? The evidence from commercial banks," Finance and Economics Discussion Series 88, Board of Governors of the Federal Reserve System (U.S.).
    2. Kalaba, Robert E. & Tesfatsion, Leigh S., 1989. "Time-Varying Linear Regression Via Flexible Least Squares," Staff General Research Papers 11196, Iowa State University, Department of Economics.
    3. Ling T. He, 2002. "Excess Returns of Industrial Stocks and the Real Estate Factor," Southern Economic Journal, Southern Economic Association, vol. 68(3), pages 632-645, January.
    4. Diana Hancock & Myron Kwast, 2001. "Using Subordinated Debt to Monitor Bank Holding Companies: Is it Feasible?," Journal of Financial Services Research, Springer, vol. 20(2), pages 147-187, October.
    5. Kalaba, Robert E. & Tesfatsion, Leigh S., 1988. "The Flexible Least Squares Approach to Time-Varying Linear Regression," Staff General Research Papers 11198, Iowa State University, Department of Economics.
    6. Douglas D. Evanoff & Larry D. Wall, 2001. "Sub-debt yield spreads as bank risk measures," Working Paper Series WP-01-03, Federal Reserve Bank of Chicago.
    7. Tesfatsion, L. & Veitch, J., 1988. "U.S. Money Demand Instability: A Flexible Least Squares Approach," Papers m8809, Southern California - Department of Economics.
    8. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    9. Flannery, Mark J, 1998. "Using Market Information in Prudential Bank Supervision: A Review of the U.S. Empirical Evidence," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 30(3), pages 273-305, August.
    10. He, Ling T & Myer, F C Neil & Webb, James R, 1996. "The Sensitivity of Bank Stock Returns to Real Estate," The Journal of Real Estate Finance and Economics, Springer, vol. 12(2), pages 203-20, March.
    11. Flannery, Mark J & James, Christopher M, 1984. " The Effect of Interest Rate Changes on the Common Stock Returns of Financial Institutions," Journal of Finance, American Finance Association, vol. 39(4), pages 1141-53, September.
    12. Lloyd, William P. & Shick, Richard A., 1977. "A Test of Stone's Two-Index Model of Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 12(03), pages 363-376, September.
    13. Diana Hancock & Myron L. Kwast, 2001. "Using subordinated debt to monitor bank holding companies: is it feasible?," Finance and Economics Discussion Series 2001-22, Board of Governors of the Federal Reserve System (U.S.).
    14. Lynge, Morgan J. & Zumwalt, J. Kenton, 1980. "An Empirical Study of the Interest Rate Sensitivity of Commercial Bank Returns: A Multi-Index Approach," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 15(03), pages 731-742, September.
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