IDEAS home Printed from https://ideas.repec.org/a/rnd/arimbr/v9y2017i2p16-24.html
   My bibliography  Save this article

Testing Microstructure Theory on Karachi Stock Exchange

Author

Listed:
  • Nadeem Nazir
  • Hamad Raza

Abstract

We are analyzing the various measures of liquidity of Karachi Stock Exchange Market on the basis of microstructure theory. The concept of microstructure is focusing on the difference between the supply price and demand price of securities in any market. In other words, the price formation of the bid-ask spread is based on the supply and demand prices. Empirical studies conducted by different researchers have made a lot of contribution in this regards. As they concluded that bid-ask spread is constituted on the basis of different theories of liquidity. Historical background of microstructure literature shows that bid–ask spread constitutes the fundamental measure of the liquidity in any market. As a result of this it contributes to identify the best structure of stock market. There may be other admitted measures of liquidity. In the opinion of different researchers the internationally accepted measures of liquidity formation in any market include the Lambda, Turnover of the concerned security, Depth of that market, The Cost of Trip, Trade of security, etc. And they work as strong indicators of liquidity. Our study is a contribution to the literature as we try to explore those correlated variables that can be significantly and sequentially change. And they are serving a measure of the individual’s securities that are already traded in Karachi Stock Exchange Market. These admitted variables of our study are trading volumes of securities, number of transactions in the market, security return, volatility of securities prices, arrival of new information etc. we take a sample of 350 quoted securities in Karachi Stock Exchange Market, from 1990-2015. As far as result is concerned, depth showed a negative correlation with all spread measures in the Karachi Stock Exchange Market. But at the same time, perfect positive correlations are shown between spread measures in the analysis. It is a perfect proof of existence and validity of these liquidity measures in KSE. The results is evidencing that the arrival of new information, return on investment, volume of traded securities; are contributing a lot to explain significantly the sequential changes in KSE. At the same time various measures of the securities regarding liquidity are proving and confirming the previous researcher’s claim. In the end, analysts are in a better position to explain that the arrival of new information from different sources and different groups is functioning as a principal aspect for the variant contributories of liquidness of the Karachi Stock Exchange.

Suggested Citation

  • Nadeem Nazir & Hamad Raza, 2017. "Testing Microstructure Theory on Karachi Stock Exchange," Information Management and Business Review, AMH International, vol. 9(2), pages 16-24.
  • Handle: RePEc:rnd:arimbr:v:9:y:2017:i:2:p:16-24
    DOI: 10.22610/imbr.v9i2.1719
    as

    Download full text from publisher

    File URL: https://ojs.amhinternational.com/index.php/imbr/article/view/1719/1436
    Download Restriction: no

    File URL: https://ojs.amhinternational.com/index.php/imbr/article/view/1719
    Download Restriction: no

    File URL: https://libkey.io/10.22610/imbr.v9i2.1719?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
    ---><---

    References listed on IDEAS

    as
    1. Brennan, Michael J. & Subrahmanyam, Avanidhar, 1996. "Market microstructure and asset pricing: On the compensation for illiquidity in stock returns," Journal of Financial Economics, Elsevier, vol. 41(3), pages 441-464, July.
    2. Amihud, Yakov & Mendelson, Haim, 1989. " The Effects of Beta, Bid-Ask Spread, Residual Risk, and Size on Stock Returns," Journal of Finance, American Finance Association, vol. 44(2), pages 479-486, June.
    3. Robert F. Engle & Joe Lange, 1997. "Measuring, Forecasting and Explaining Time Varying Liquidity in the Stock Market," NBER Working Papers 6129, National Bureau of Economic Research, Inc.
    4. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2000. "Commonality in liquidity," Journal of Financial Economics, Elsevier, vol. 56(1), pages 3-28, April.
    5. Goldstein, Michael A. & A. Kavajecz, Kenneth, 2000. "Eighths, sixteenths, and market depth: changes in tick size and liquidity provision on the NYSE," Journal of Financial Economics, Elsevier, vol. 56(1), pages 125-149, April.
    6. Ho, Thomas & Stoll, Hans R., 1981. "Optimal dealer pricing under transactions and return uncertainty," Journal of Financial Economics, Elsevier, vol. 9(1), pages 47-73, March.
    7. Hasbrouck, Joel, 1993. "Assessing the Quality of a Security Market: A New Approach to Transaction-Cost Measurement," The Review of Financial Studies, Society for Financial Studies, vol. 6(1), pages 191-212.
    8. Copeland, Thomas E & Galai, Dan, 1983. "Information Effects on the Bid-Ask Spread," Journal of Finance, American Finance Association, vol. 38(5), pages 1457-1469, December.
    9. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    10. Harris, Lawrence E, 1994. "Minimum Price Variations, Discrete Bid-Ask Spreads, and Quotation Sizes," The Review of Financial Studies, Society for Financial Studies, vol. 7(1), pages 149-178.
    11. Saqib Muneer & Babar Zaheer Butt & Kashif Ur Rehman, 2011. "A Multifactor Model of Banking Industry Stock Returns: An Emerging Market Perspective," Information Management and Business Review, AMH International, vol. 2(6), pages 267-275.
    12. Harold Demsetz, 1968. "The Cost of Transacting," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 82(1), pages 33-53.
    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. Pascual, Roberto & Escribano, Álvaro & Tapia, Mikel, 1999. "How does liquidity behave? A multidimensional analysis of NYSE stocks," DEE - Working Papers. Business Economics. WB 6433, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    2. Vayanos, Dimitri & Wang, Jiang, 2013. "Market Liquidity—Theory and Empirical Evidence ," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1289-1361, Elsevier.
    3. Murphy Jun Jie Lee, 2013. "The Microstructure of Trading Processes on the Singapore Exchange," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 2-2013.
    4. Medina, Vicente & Pardo, Ángel & Pascual, Roberto, 2014. "The timeline of trading frictions in the European carbon market," Energy Economics, Elsevier, vol. 42(C), pages 378-394.
    5. Filippo Coro & Alfonso Dufour & Simone Varotto, 2012. "The Time Varying Properties of Credit and Liquidity Components of CDS Spreads," ICMA Centre Discussion Papers in Finance icma-dp2012-06, Henley Business School, University of Reading.
    6. Murphy Jun Jie Lee, 2013. "The Microstructure of Trading Processes on the Singapore Exchange," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 4, July-Dece.
    7. Corò, Filippo & Dufour, Alfonso & Varotto, Simone, 2013. "Credit and liquidity components of corporate CDS spreads," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5511-5525.
    8. Chakravarty, Sugato & Harris, Fredreck H. deB. & Wood, Roger A., 2001. "Do Bid-Ask Spreads or Bid and Ask Depths Convey New Information First?," Purdue University Economics Working Papers 1149, Purdue University, Department of Economics.
    9. Banti, Chiara & Phylaktis, Kate & Sarno, Lucio, 2012. "Global liquidity risk in the foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 31(2), pages 267-291.
    10. Gibson, Scott & Singh, Rajdeep & Yerramilli, Vijay, 2003. "The effect of decimalization on the components of the bid-ask spread," Journal of Financial Intermediation, Elsevier, vol. 12(2), pages 121-148, April.
    11. Baker, Malcolm & Stein, Jeremy C., 2004. "Market liquidity as a sentiment indicator," Journal of Financial Markets, Elsevier, vol. 7(3), pages 271-299, June.
    12. Kandel, Eugene & Marx, Leslie M., 1997. "Nasdaq market structure and spread patterns," Journal of Financial Economics, Elsevier, vol. 45(1), pages 61-89, July.
    13. Pascual, Roberto & Escribano, Álvaro & Tapia, Mikel, 2000. "Adverse selection costs, trading activity and liquidity in the NYSE: an empirical analysis in a dynamic context," UC3M Working papers. Economics 7276, Universidad Carlos III de Madrid. Departamento de Economía.
    14. Jagjeev Dosanjh, 2017. "Exchange Initiatives and Market Efficiency: Evidence from the Australian Securities Exchange," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2017.
    15. Albuquerque, Rui & Song, Shiyun & Yao, Chen, 2017. "The Price Effects of Liquidity Shocks: A Study of SEC’s Tick-Size Experiment," CEPR Discussion Papers 12486, C.E.P.R. Discussion Papers.
    16. Roberto Pascual & Alvaro Escribano & Mikel Tapia, 2004. "On the bi-dimensionality of liquidity," The European Journal of Finance, Taylor & Francis Journals, vol. 10(6), pages 542-566.
    17. repec:uts:finphd:34 is not listed on IDEAS
    18. Lee, Jieun & Ryu, Doojin, 2019. "How does FX liquidity affect the relationship between foreign ownership and stock liquidity?," Emerging Markets Review, Elsevier, vol. 39(C), pages 101-119.
    19. Biais, Bruno & Glosten, Larry & Spatt, Chester, 2005. "Market microstructure: A survey of microfoundations, empirical results, and policy implications," Journal of Financial Markets, Elsevier, vol. 8(2), pages 217-264, May.
    20. Albuquerque, Rui & Song, Shiyun & Yao, Chen, 2020. "The price effects of liquidity shocks: A study of the SEC’s tick size experiment," Journal of Financial Economics, Elsevier, vol. 138(3), pages 700-724.
    21. Andres, Christian & Cumming, Douglas & Karabiber, Timur & Schweizer, Denis, 2014. "Do markets anticipate capital structure decisions? — Feedback effects in equity liquidity," Journal of Corporate Finance, Elsevier, vol. 27(C), pages 133-156.

    More about this item

    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:rnd:arimbr:v:9:y:2017:i:2:p:16-24. 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: Muhammad Tayyab (email available below). General contact details of provider: https://ojs.amhinternational.com/index.php/imbr .

    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.