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Idiosyncratic risk, returns and liquidity in the London Stock Exchange: a spillover approach

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  • Andreas Andrikopoulos
  • Timotheos Angelidis

Abstract

In the light of recent evidence that liquidity and idiosyncratic risk may be priced factors in the cross section of expected stock returns and that market capitalization significantly affects investor behavior and liquidity, we explore the interactions between liquidity, idiosyncratic risk and return across time as well as across size-based portfolios of stocks listed in the London Stock Exchange. In a Vector Autoregressive (VAR) analytical framework, we find that volatility spills over from large cap stocks to small cap stocks and vice versa. Volatility shocks can be predicted by illiquidity shocks in both large cap as well as in the small cap portfolios. Illiquidity can be predicted by return shocks in small cap stocks. Finally, we document some evidence of asymmetric liquidity spillovers, from large cap stocks to small cap ones, supporting the intuition that common information is first incorporated in the trading behavior of large-cap investors and the liquidity of large cap stocks and is then transmitted in the trading of small stocks.

Suggested Citation

  • Andreas Andrikopoulos & Timotheos Angelidis, 2008. "Idiosyncratic risk, returns and liquidity in the London Stock Exchange: a spillover approach," Working Papers 0017, University of Peloponnese, Department of Economics.
    • Handle: RePEc:uop:wpaper:0017
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    2. Ng, Andrew Cheuk-Yin & Li, Johnny Siu-Hang & Chan, Wai-Sum, 2011. "Modeling investment guarantees in Japan: A risk-neutral GARCH approach," International Review of Financial Analysis, Elsevier, vol. 20(1), pages 20-26, January.
    3. Chen, Jing & Dong, Yizhe & Hou, Wenxuan & McMillan, David G., 2018. "Does feedback trading drive returns of cross-listed shares?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 53(C), pages 179-199.
    4. Javier Vidal-García & Marta Vidal & Duc Khuong Nguyen, 2016. "Do liquidity and idiosyncratic risk matter? Evidence from the European mutual fund market," Review of Quantitative Finance and Accounting, Springer, vol. 47(2), pages 213-247, August.
    5. Li, Wei & Lu, Xinsheng & Ren, Yongping & Zhou, Ying, 2018. "Dynamic relationship between RMB exchange rate index and stock market liquidity: A new perspective based on MF-DCCA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 726-739.
    6. Meinshausen, Steffen & Schiereck, Dirk, 2011. "Dressed to merge — small fits fine: M&A success in the fashion and accessories industry," International Review of Financial Analysis, Elsevier, vol. 20(5), pages 283-291.
    7. Priyanka Naik & B G Poornima & Y V Reddy, 2020. "Measuring liquidity in Indian stock market: A dimensional perspective," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-17, September.
    8. Stavros Degiannakis & Andreas Andrikopoulos & Timotheos Angelidis & Christos Floros, 2013. "Return dispersion, stock market liquidity and aggregate economic activity," Working Papers 166, Bank of Greece.
    9. Jianjian Wang & Feng He & Xin Shi, 2019. "Numerical solution of a general interval quadratic programming model for portfolio selection," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-16, March.

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