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The Behaviour of Trading Volume : Evidence from Money Market Instruments


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1 Department of Commerce, CHRIST (Deemed to be University), Bengaluru - 560 029, India

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This paper analyzed the impact of macro and non-macroeconomic factors on the trading volume of the certificate of deposits and commercial paper with regard to India during the monthly period from April 2012 – March 2018 using the quantile regression approach. The results revealed that gross domestic product rate, Consumer Price Index, Economic Policy Uncertainty Index, the Volatility Index, and the Nifty index had a negligible impact on the trading volume of corporate bonds. However, interest rates and exchange rates did not influence the trading volume of corporate bonds. In the other context, gross domestic product rate, Consumer Price Index, interest rates, the Volatility Index, and movements in the Nifty index showed a negligible impact on the trading volume of commercial paper. However, the variations in the trading volume of commercial papers were not explained by exchange rates and Economic Policy Uncertainty Index.

Keywords

Macroeconomic Factors, Non-Macroeconomic Factors, Trading Volume, Commercial Papers, Certificate of Deposits, Quantile Regression, India.
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  • Al-Tarawneh, A., & Al-Assaf, G. (2018). Macroeconomic drivers of stock market development : Evidence from Jordan. International Journal of Financial Research, 9(3), 117 – 124. https://doi.org/10.5430/ijfr.v9n3p117

  • Bhanumurthy, K. V., Singh, A. K., & Aggarwal, A. (2019). Macroeconomic antecedents of stock returns and exchange rate. Indian Journal of Finance, 13(6), 29 – 53. https://doi.org/10.17010/ijf/2019/v13i6/144848

  • Bhatt, V., & Virmani, A. (2005). Global integration of India’s money market : Interest rate parity in India. Indian Council for Research on International Economic Relations, WP No 164. Retrieved from http://hdl.handle.net/10419/176186

  • Brooks, C. (2014). Introductory econometrics for finance. Cambridge, UK : Cambridge University Press.

  • Buchinsky, M. (1995). Estimating the asymptotic covariance matrix for quantile regression models a Monte Carlo study. Journal of Econometrics, 68(2), 303–338.

  • Carlson, M., & Wheelock, D. C. (2018). Near-money premiums, monetary policy, and the integration of money markets: Lessons from deregulation. Journal of Financial Intermediation, 33, 16 – 32. https://doi.org/10.1016/j.jfi.2016.09.001

  • Chari, L. S., Panda, P., & Korivi, S. R. (2017). Impact of market-wide circuit-breaker on trading activity and volatility - Empirical evidence from Indian markets. Prajnan, 46(1), 37–53.

  • Chellaswamy, K. P., Natchimuthu, N., & Faniband, M. (2020). Stock market sensitivity to macroeconomic factors : Evidence from China and India. Asian Economic and Financial Review, 10(2), 146–159. https://doi.org/10.18488/journal.aefr.2020.102.146.159

  • Cook, S., & Watson, D. (2017). Revisiting the returns – volume relationship : Time variation, alternative measures and the financial crisis. Physica A: Statistical Mechanics and Its Applications, 470, 228 – 235.

  • Covitz, D. M., Liang, N., & Suarez, G. (2009). The evolution of a financial crisis : Panic in the asset-backed commercial paper market. Finance and Economics Discussion Series, 1 – 47. Retrieved from https://www.federalreserve.gov/pubs/feds/2009/200936/200936pap.pdf

  • Cuthbertson, K., Hayes, S., & Nitzsche, D. (1996). The behaviour of certificate of deposit rates in the UK. Oxford Economic Papers, 48(3), 397– 414. https://doi.org/10.1093/oxfordjournals.oep.a028575

  • Da Fonseca, J. S. (2016). Euro area stock markets performance comparison and its dependence on macroeconomic variables. International Journal of Monetary Economics and Finance, 9(3), 245 – 266. https://doi.org/https://dx.doi.org/10.1504/IJMEF.2016.078397

  • Dangi, M., & Kohli, B. (2018). Role of behavioral biases in investment decisions : A factor analysis. Indian Journal of Finance, 12(3), 43 – 57. https://doi.org/10.17010/ijf/2018/v12i3/121997

  • Economic Policy Uncertainty. (2018). Economic Policy Uncertainty Index. Retrieved from https://www.policyuncertainty.com/

  • Faniband, M. (In Press). Sensitivity of Indian government bonds to macroeconomic and non-macroeconomic factors : A quantile regression approach. Afro-Asian Journal of Finance and Accounting.

  • Faniband, M. M., & Marulkar, K. V. (2020). Quarterly results and share prices : What happens on the date of earnings announcement ? Finance India, 34(1), 153 – 162.

  • FRED. (n.d.). Statistics. Retrieved from https://fred.stlouisfed.org/

  • Gebka, B., & Wohar, M. E. (2013). Causality between trading volume and returns : Evidence from quantile regressions. International Review of Economics and Finance, 27, 144 – 159.

  • Ghosh, S., & Pradhan, N. C. (2008). Determinants of WADR for commercial paper : An empirical analysis for India. Reserve Bank of India Occasional Papers, 29(1), 19 – 35.

  • Investing.com. (n.d.). Statistics. Retrieved from https://www.investing.com/

  • Isidore, R. R., & Christie, P. (2018). Investment behavior of secondary equity investors : An examination of the relationship among the biases. Indian Journal of Finance, 12(9), 7 – 20. https://doi.org/10.17010/ijf/2018/v12i9/131556

  • Jha, S. K., Bhattacharya, S. N., & Bhattacharya, M. (2019). Google search volume and stock market liquidity. Indian Journal of Finance, 13(8), 51 – 64. https://doi.org/10.17010/ijf/2018/v12i9/131556

  • Joshipura, M., & Janakiramanan, S. (2015). Price and volume effects associated with scheduled changes in constituents of index : Study of NIFTY index in India. Afro-Asian Journal of Finance and Accounting, 5(1), 21 – 36. https://doi.org/10.1504/AAJFA.2015.067824

  • Jothi, M., & Suresh, G. (2016). An econometric analysis of causal relationship between gold, crude oil, U.S. dollar rates and S&P BSE 100 in India. Indian Journal of Research in Capital Markets, 3(2), 20 – 30. Retrieved from http://indianjournalofcapitalmarkets.com/index.php/ijrcm/article/view/102593

  • Kacperczyk, M., & Schnabl, P. (2013). How safe are money market funds? The Quarterly Journal of Economics, 128(3), 1073 – 1122. https://doi.org/10.1093/qje/qjt010

  • Kaur, S. (2014). Financial market development and integration : A look at the Indian story. NSE Project. Retrieved from https://www.nseindia.com/research/content/RP_13_Mar2014.pdf

  • Knez, P. J., Litterman, R., & Scheinkman, J. (1994). Explorations into factors explaining money market returns. The Journal of Finance, 49(5), 1861–1882. https://www.jstor.org/stable/2329274

  • Koenker, R., & Bassett, G. (1978). Regression quantiles. Econometrica, 46(1), 33–50. https://www.jstor.org/stable/1913643

  • Lackman, C., Carlson, W., & Varick, C. (2004). Forecasting commercial paper rates. Journal of Forecasting, 23(1), 67–76. https://doi.org/10.1002/for.902

  • Liu, K. (2018). Why does the negotiable certificate of deposit matter for Chinese banking ? Economic Affairs, 38(1), 96 – 105.

  • Murdeshwar, M. L. (1970). Negotiable certificate of deposit - A new monetary instrument. Economic and Political Weekly, 5(39), 1606–1608.

  • National Stock Exchange of India Limited. (n.d.). Statistics. Retrieved from https://www.nseindia.com/

  • Nippani, S., & Pennathur, A. K. (2004). Day-of-the-week effects in commercial paper yield rates. Quarterly Review of Economics and Finance, 44(4), 508 – 520.

  • Nowman, K. B. (2002). The volatility of Japanese interest rates : Evidence for certificate of deposit and Gensaki rates. International Review of Financial Analysis, 11(1), 29 – 38. https://doi.org/10.1016/S1057-5219(01)00071-0

  • Okuyan, H. A. (2013). Real macroeconomic variables and stock prices : Evidence from Turkey. Asian Journal of Empirical Research, 3(6), 654–662.

  • Raghuram, G., & Erickson, C. (2017). Identifying structural breaks in asset pricing behavior in the Indian context. Indian Journal of Finance, 11(6), 7–20. https://doi.org/10.17010/ijf/2017/v11i6/115592

  • Rao, M., & Pillai, R. (2011). Risk and return analysis of commercial paper. Asia-Pacific Business Review, 7(4), 40 – 49.

  • Schadrack, F. C. (1970). Demand and supply in the commercial paper market. The Journal of Finance, 25(4), 837 – 852.

  • Singh, S. K., & Raja, N. A. (2014). Indian commercial paper market: An insightful investigation. CCIL Monthly Newsletter, 7–19.

  • The Clearing Corporation of India Limited. (2018). Factbook. Retrieved from https://www.ccilindia.com/Pages/default.aspx

  • Wang, Z., Qian, Y., & Wang, S. (2018). Dynamic trading volume and stock return relation : Does it hold out of sample ? International Review of Financial Analysis, 58, 195–210.

  • Winarto, J., Sule, E. T., & Ariawati, R. R. (2017). Macroeconomic influences and equity market returns in Indonesia. International Journal of Business and Globalisation, 18(4), 539–551. https://doi.org/https://dx.doi.org/10.1504/IJBG.2017.084368


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  • The Behaviour of Trading Volume : Evidence from Money Market Instruments

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Authors

Muhammadriyaj Faniband
Department of Commerce, CHRIST (Deemed to be University), Bengaluru - 560 029, India

Abstract


This paper analyzed the impact of macro and non-macroeconomic factors on the trading volume of the certificate of deposits and commercial paper with regard to India during the monthly period from April 2012 – March 2018 using the quantile regression approach. The results revealed that gross domestic product rate, Consumer Price Index, Economic Policy Uncertainty Index, the Volatility Index, and the Nifty index had a negligible impact on the trading volume of corporate bonds. However, interest rates and exchange rates did not influence the trading volume of corporate bonds. In the other context, gross domestic product rate, Consumer Price Index, interest rates, the Volatility Index, and movements in the Nifty index showed a negligible impact on the trading volume of commercial paper. However, the variations in the trading volume of commercial papers were not explained by exchange rates and Economic Policy Uncertainty Index.

Keywords


Macroeconomic Factors, Non-Macroeconomic Factors, Trading Volume, Commercial Papers, Certificate of Deposits, Quantile Regression, India.

References





DOI: https://doi.org/10.17010/ijf%2F2020%2Fv14i8-9%2F154949