Abstract :
This paper investigates the distributional characteristics of daily returns of the Nifty 50 index, a benchmark index comprising 50 large-cap stocks traded on the National Stock Exchange of India. Utilizing historical data spanning a specified time period, we conduct normality testing to assess the adequacy of the normal distribution assumption underlying many financial models. Our analysis provides insights into the departure from normality. As a result of departure from Normality, it may affect the tail behaviour, and volatility dynamics of Nifty 50 daily returns, offering implications for risk management, option pricing, portfolio management, and market efficiency. By synthesizing empirical findings with theoretical considerations, this research contributes to a deeper understanding of the statistical properties of Nifty 50 daily returns and informs practitioners in finance about the challenges associated with Modeling and analysing stock market data.
Keywords :
Daily Returns, Financial Modeling, Nifty 50., Normal Distribution, Normality AssessmentReferences :
- Albuquerque, R., 2012. Skewness in Stock Returns: Reconciling the Evidence on Firm versus Aggregate Stock Returns. Review of Financial Studies, 25(5), pp. 1630- 1673. DOI 10.1093/rfs/hhr144.
- Aparicio, F. And J. Estrada, 2001. Empirical Distributions of Stock Returns: European Securities Markets, 1990-1995. The European Journal of Finance, 7(1), pp. 1- 21. DOI 10.1080/13518470121786.
- Arik, A., B. Bulut and M. Sucu, 2013. Finansal Risklerin Uç Değer Kuramı ile Ölçülmesi. Bilim ve Teknoloji Dergisi, 14(2), pp. 119-134.
- Behr, A. and U. Potter, 2009. Alternatives to the Normal Model of Stock Returns: Gaussian Mixture, Generalised logF and Generalised Hyperbolic Models. Annals of Finance, 5(1), pp. 49-68. DOI 10.1007/s10436-007-0089-8.
- Ghasemi A, Zahediasl S. Normality tests for statistical analysis: a guide for non-statisticians. Int J Endocrinol Metab. 2012 Spring;10(2):486-9. doi: 10.5812/ijem.3505. Epub 2012 Apr 20. PMID: 23843808; PMCID: PMC3693611.
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