IDEAS home Printed from https://ideas.repec.org/a/eee/japwor/v39y2016icp23-36.html
   My bibliography  Save this article

Magnitudes of Market Inefficiency: Theory and Application

Author

Listed:
  • Miyakoshi, Tatsuyoshi
  • Tsukuda, Yoshihiko
  • Shimada, Junji

Abstract

This paper conceptually distinguishes the intrinsic value from the fundamental value, though most of previous literatures have implicitly deemed them to be identical. The distinction of the two concepts clarifies the relation between the market efficiency in the sense of Fama (1970) and the over- (under-) valuation for evaluating the stock market. Then, this study proposes an alternative measure of ‘magnitude of market inefficiency’ for accessing the trading systems and applies this measure to the nine stock markets during the two sub-periods. The trading systems of three markets improve in the second period, while the others become worse. This study also proposes an alternative measure of a fundamental value of stock price based on a macroeconomic model and makes clear the relation of the over- (under-) valuation of the market to the magnitudes of market inefficiency. Thus, the application to the Japanese stock market indicates that the magnitudes of inefficiency are small compared with the net over- (under-) valuations. It is because the magnitude of inefficiency is stationary while the net over- (under-) valuation is non-stationary.

Suggested Citation

  • Miyakoshi, Tatsuyoshi & Tsukuda, Yoshihiko & Shimada, Junji, 2016. "Magnitudes of Market Inefficiency: Theory and Application," Japan and the World Economy, Elsevier, vol. 39(C), pages 23-36.
  • Handle: RePEc:eee:japwor:v:39:y:2016:i:c:p:23-36
    DOI: 10.1016/j.japwor.2016.05.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0922142516300044
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.japwor.2016.05.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Chang, Rosita P. & Rhee, S. Ghon & Stone, Gregory R. & Tang, Ning, 2008. "How does the call market method affect price efficiency? Evidence from the Singapore Stock Market," Journal of Banking & Finance, Elsevier, vol. 32(10), pages 2205-2219, October.
    2. Velinov, Anton & Chen, Wenjuan, 2015. "Do stock prices reflect their fundamentals? New evidence in the aftermath of the financial crisis," Journal of Economics and Business, Elsevier, vol. 80(C), pages 1-20.
    3. Amihud, Yakov & Mendelson, Haim & Lauterbach, Beni, 1997. "Market microstructure and securities values: Evidence from the Tel Aviv Stock Exchange," Journal of Financial Economics, Elsevier, vol. 45(3), pages 365-390, September.
    4. Chung, Heetaik & Lee, Bong-Soo, 1998. "Fundamental and nonfundamental components in stock prices of Pacific-Rim countries," Pacific-Basin Finance Journal, Elsevier, vol. 6(3-4), pages 321-346, August.
    5. Gregory Koutmos, 1999. "Asymmetric Price and Volatility Adjustments in Emerging Asian Stock Markets," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 26(1‐2), pages 83-101, January.
    6. Nam, Kiseok & Pyun, Chong Soo & Kim, Sei-Wan, 2003. "Is asymmetric mean-reverting pattern in stock returns systematic? Evidence from Pacific-basin markets in the short-horizon," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 13(5), pages 481-502, December.
    7. Amihud, Yakov & Mendelson, Haim, 1991. "Volatility, Efficiency, and Trading: Evidence from the Japanese Stock Market," Journal of Finance, American Finance Association, vol. 46(5), pages 1765-1789, December.
    8. Lauterbach, Beni, 2001. "A note on trading mechanism and securities' value: The analysis of rejects from continuous trade," Journal of Banking & Finance, Elsevier, vol. 25(2), pages 419-430, February.
    9. Gregory Koutmos, 1999. "Asymmetric Price and Volatility Adjustments in Emerging Asian Stock Markets," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 26(1-2), pages 83-101.
    10. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    11. Campbell, John Y & Shiller, Robert J, 1987. "Cointegration and Tests of Present Value Models," Journal of Political Economy, University of Chicago Press, vol. 95(5), pages 1062-1088, October.
    12. Pagan, Jose A. & Soydemir, Gokce A., 2001. "Response asymmetries in the Latin American equity markets," International Review of Financial Analysis, Elsevier, vol. 10(2), pages 175-185.
    13. Amihud, Yakov & Mendelson, Haim, 1987. "Trading Mechanisms and Stock Returns: An Empirical Investigation," Journal of Finance, American Finance Association, vol. 42(3), pages 533-553, July.
    14. Damodaran, Aswath, 1993. "A Simple Measure of Price Adjustment Coefficients," Journal of Finance, American Finance Association, vol. 48(1), pages 387-400, March.
    15. Black, Angela & Fraser, Patricia & Groenewold, Nicolaas, 2003. "U.S. stock prices and macroeconomic fundamentals," International Review of Economics & Finance, Elsevier, vol. 12(3), pages 345-367.
    16. Koutmos, Gregory, 1998. "Asymmetries in the Conditional Mean and the Conditional Variance: Evidence From Nine Stock Markets," Journal of Economics and Business, Elsevier, vol. 50(3), pages 277-290, May.
    17. Bahng, Joshua Seungwook & Shin, Seung-myo, 2003. "Do stock price indices respond asymmetrically?: Evidence from China, Japan, and South Korea," Journal of Asian Economics, Elsevier, vol. 14(4), pages 541-563, August.
    18. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    19. Lee, Bong-Soo, 1998. "Permanent, Temporary, and Non-Fundamental Components of Stock Prices," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 33(1), pages 1-32, March.
    20. Mandelbrot, Benoit B, 1972. "Correction of an Error in "The Variation of Certain Speculative Prices" (1963)," The Journal of Business, University of Chicago Press, vol. 45(4), pages 542-543, October.
    21. Nam, Kiseok & Washer, Kenneth M. & Chu, Quentin C., 2005. "Asymmetric return dynamics and technical trading strategies," Journal of Banking & Finance, Elsevier, vol. 29(2), pages 391-418, February.
    22. Benoit Mandelbrot, 2015. "The Variation of Certain Speculative Prices," World Scientific Book Chapters, in: Anastasios G Malliaris & William T Ziemba (ed.), THE WORLD SCIENTIFIC HANDBOOK OF FUTURES MARKETS, chapter 3, pages 39-78, World Scientific Publishing Co. Pte. Ltd..
    23. Amihud, Yakov & Mendelson, Haim, 1989. "Market microstructure and price discovery on the Tokyo Stock Exchange," Japan and the World Economy, Elsevier, vol. 1(4), pages 341-370, November.
    24. Black, Fischer, 1986. "Noise," Journal of Finance, American Finance Association, vol. 41(3), pages 529-543, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Thomas C. Chiang & Cathy W.S. Chen & Mike K.P. So, 2007. "Asymmetric Return and Volatility Responses to Composite News from Stock Markets," Multinational Finance Journal, Multinational Finance Journal, vol. 11(3-4), pages 179-210, September.
    2. Chiang, Thomas C. & Yu, Hai-Chin & Wu, Ming-Chya, 2009. "Statistical properties, dynamic conditional correlation and scaling analysis: Evidence from Dow Jones and Nasdaq high-frequency data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(8), pages 1555-1570.
    3. Chen, Cathy W. S. & Chiang, Thomas C. & So, Mike K. P., 2003. "Asymmetrical reaction to US stock-return news: evidence from major stock markets based on a double-threshold model," Journal of Economics and Business, Elsevier, vol. 55(5-6), pages 487-502.
    4. Tim Bollerslev & Robert J. Hodrick, 1992. "Financial Market Efficiency Tests," NBER Working Papers 4108, National Bureau of Economic Research, Inc.
    5. Robert Kelly, 2008. "Opening and Closing Asymmetry: Empirical Analysis from ISE Xetra," The Economic and Social Review, Economic and Social Studies, vol. 39(1), pages 55-78.
    6. Dean, Warren G. & Faff, Robert W. & Loudon, Geoffrey F., 2010. "Asymmetry in return and volatility spillover between equity and bond markets in Australia," Pacific-Basin Finance Journal, Elsevier, vol. 18(3), pages 272-289, June.
    7. Thomas Chiang & Lin Tan & Huimin Li, 2007. "Empirical analysis of dynamic correlations of stock returns: evidence from Chinese A-share and B-share markets," Quantitative Finance, Taylor & Francis Journals, vol. 7(6), pages 651-667.
    8. Alagidede, Paul & Panagiotidis, Theodore, 2009. "Modelling stock returns in Africa's emerging equity markets," International Review of Financial Analysis, Elsevier, vol. 18(1-2), pages 1-11, March.
    9. Koutmos, Gregory, 1998. "Asymmetries in the Conditional Mean and the Conditional Variance: Evidence From Nine Stock Markets," Journal of Economics and Business, Elsevier, vol. 50(3), pages 277-290, May.
    10. Shalini, Velappan & Prasanna, Krishna, 2016. "Impact of the financial crisis on Indian commodity markets: Structural breaks and volatility dynamics," Energy Economics, Elsevier, vol. 53(C), pages 40-57.
    11. George Ogum & Francisca Beer & Genevieve Nouyrigat, 2005. "Emerging Equity Market Volatility Ab Empirical Investigation Of Markets In Kenya Nigeria," Post-Print hal-04533527, HAL.
    12. Claudeci Da Silva & Hugo Agudelo Murillo & Joaquim Miguel Couto, 2014. "Early Warning Systems: Análise De Ummodelo Probit De Contágio De Crise Dos Estados Unidos Para O Brasil(2000-2010)," Anais do XL Encontro Nacional de Economia [Proceedings of the 40th Brazilian Economics Meeting] 110, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    13. Sung Ik Kim, 2022. "ARMA–GARCH model with fractional generalized hyperbolic innovations," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-25, December.
    14. SENARATHNE W Chamil & JIANGUO Wei, 2018. "Do Investors Mimic Trading Strategies Of Foreign Investors Or The Market: Implications For Capital Asset Pricing," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 13(3), pages 171-205, December.
    15. Aatola, Piia, 2013. "Putting a Price on Carbon – Econometric Essays on the European Union Emissions Trading Scheme and its Impacts," Research Reports P62, VATT Institute for Economic Research.
    16. Leung, Henry & Schiereck, Dirk & Schroeder, Florian, 2017. "Volatility spillovers and determinants of contagion: Exchange rate and equity markets during crises," Economic Modelling, Elsevier, vol. 61(C), pages 169-180.
    17. Ritesh Kumar Mishra & Sanjay Sehgal & N.R. Bhanumurthy, 2011. "A search for long‐range dependence and chaotic structure in Indian stock market," Review of Financial Economics, John Wiley & Sons, vol. 20(2), pages 96-104, May.
    18. Jovanovic, Franck & Schinckus, Christophe, 2017. "Econophysics and Financial Economics: An Emerging Dialogue," OUP Catalogue, Oxford University Press, number 9780190205034.
    19. Chevallier, Julien & Ielpo, Florian, 2017. "Investigating the leverage effect in commodity markets with a recursive estimation approach," Research in International Business and Finance, Elsevier, vol. 39(PB), pages 763-778.
    20. Degiannakis, Stavros & Xekalaki, Evdokia, 2004. "Autoregressive Conditional Heteroskedasticity (ARCH) Models: A Review," MPRA Paper 80487, University Library of Munich, Germany.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:japwor:v:39:y:2016:i:c:p:23-36. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/505557 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.