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Order Imbalance Indicators in Asset Pricing: Evidence from the Warsaw Stock Exchange

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Contemporary Trends and Challenges in Finance

Part of the book series: Springer Proceedings in Business and Economics ((SPBE))

Abstract

The paper is devoted to the description of rates of return for stocks listed on the Warsaw Stock Exchange (WSE) basing on the information of order imbalance. The model employed in the research is a modified version of Fama and French (J Financ Econ 33(1):3–56, 1993) asset pricing model including additionally the ‘order imbalance factor’ built on the basis of the original imbalance indicators proposed by Nowak (Order imbalance on the Warsaw Stock Exchange, 2000–2012. Paper presented at the International Conference Financial Investments and Insurance – Global Trends and Polish Market, Wrocław University of Economics, Wrocław, 17–19 September 2014). The order imbalance is assumed as the temporary imbalance between buy and sell orders. Its estimation is preceded by an indication which side of the market was initiating the transaction, and a distinction between the so-called buyer- and seller-initiated trades [Lee and Ready (J Financ 46(2):73–746, 1991), Ellis, Michaely and O'Hara (J Financ Quant Anal 35(4):529–551, 2000)]. The imbalance indicators are calculated using the high frequency intraday data. The research hypothesis states that the proposed asset pricing model has good descriptive properties. The analysis is conducted for the selected stocks—index WIG20 constituents listed on the WSE over the period of 2000 to 2016. The model is validated using i.a. the underidentification test and the weak identification test [Kleibergen and Paap (J Econom 133(1):97–126, 2006)], overidentification test of all instruments [Hansen (Econometrica 50(4):1029–1054, 1982)] and endogeneity test of endogenous regressors.

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Notes

  1. 1.

    The approximation of the best ask and best bid prices was done due to the fact that they are not given to public information on the WSE.

  2. 2.

    Due to a limited number of pages of the paper, the results of the calculation will be revealed on request.

  3. 3.

    In each case the asset pricing factors lwig t + 1 and lbs t + 1 were calculated appropriately.

  4. 4.

    Due to page restriction, both the findings obtained for the KGHM share using imb4 indicator and the detailed results obtained for the other 9 companies will be revealed on request.

References

  • Baum CF, Schaffer ME, Stillman S (2007) Enhanced routines for instrumental variables/generalized method of moments estimation and testing. Stata J 7(4):465–506

    Google Scholar 

  • Chordia T, Subrahmanyam A (2004) Order imbalance and individual stock returns: theory and evidence. J Financ Econ 72(3):485–518

    Article  Google Scholar 

  • Chordia T, Roll R, Subrahmanyam A (2002) Order imbalance, liquidity, and market returns. J Financ Econ 65(1):111–130

    Article  Google Scholar 

  • Cumby RE, Huizinga J (1992) Testing the autocorrelation structure of disturbances in ordinary least squares and instrumental variables regressions. Econometrica 60(1):185–195

    Article  Google Scholar 

  • Diebold FX, Mariano RS (1995) Comparing predictive accuracy. J Bus Econ Stat 13(3):253–263

    Google Scholar 

  • Ellis K, Michaely R, O’Hara M (2000) The accuracy of trade classification rules: evidence from Nasdaq. J Financ Quant Anal 35(4):529–551

    Google Scholar 

  • Fama EF, French KR (1993) Common risk factors in the returns on stocks and bonds. J Financ Econ 33(1):3–56

    Article  Google Scholar 

  • Fama EF, French KR (2015) A five-factor asset pricing model. J Financ Econ 116(1):1–22

    Article  Google Scholar 

  • Hansen LP (1982) Large sample properties of generalized method of moments estimators. Econometrica 50(4):1029–1054

    Article  Google Scholar 

  • Hopman C (2007) Do supply and demand drive stock prices? Quant Financ 7(1):37–53

    Article  Google Scholar 

  • Kleibergen F, Paap R (2006) Generalized reduced rank tests using the singular value decomposition. J Econ 133(1):97–126

    Article  Google Scholar 

  • Lee CMC, Ready MJ (1991) Inferring trade direction from intraday data. J Financ 46(2):73–746

    Article  Google Scholar 

  • Nowak S (2014) Order imbalance on the Warsaw Stock Exchange, 2000-2012. Paper presented at the International Conference Financial Investments and Insurance–Global Trends and Polish Market, Wrocław University of Economics, Wrocław, 17–19 September 2014

    Google Scholar 

  • Pagan AR, Hall AD (1983) Diagnostic tests as residual analysis. Econ Rev 2(2):159–218

    Article  Google Scholar 

  • Pesaran MH, Taylor LW (1999) Diagnostics for IV regressions. Oxf Bull Econ Stat 61(2):255–281

    Article  Google Scholar 

  • Pesaran MH, Timmermann A (1992) A simple nonparametric test of predictive performance. J Bus Econ Stat 10(4):461–465

    Google Scholar 

  • Schwert GW (1989) Test for unit roots: A Monte Carlo investigation. J Bus Econ Stat 7(2):147–159

    Google Scholar 

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Correspondence to Sabina Nowak .

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Appendix

Appendix

Table 4 Results of IV estimation and validation of model (2) basing on indicator imb1, share KGHM

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Nowak, S. (2017). Order Imbalance Indicators in Asset Pricing: Evidence from the Warsaw Stock Exchange. In: Jajuga, K., Orlowski, L., Staehr, K. (eds) Contemporary Trends and Challenges in Finance. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-319-54885-2_9

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