Indian Journal of Finance

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Stochastic Dependence in Indian Capital Markets: A Fractal Analysis of the CNX Information Technology Index


Affiliations
1 Department of Accountancy, Finance, & Economics, College of Business, Western Carolina University, NC, United States
2 Associate Dean, College of Business, Western Carolina University, NC, United States

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This paper examines the CNX information technology index for stochastic dependence with Lo's modified rescaled-range technique. Next, five self-affine fractal analysis techniques are used for estimating the Hurst exponent, Mandelbrot-Lévy characteristic exponent, and fractal dimension. Techniques employed are rescaled-range analysis, power-spectral density analysis, roughness-length analysis, the variogram or structure function method, and wavelet analysis. Evidence against efficient valuation supports the multifractal model of asset returns (MMAR) and disconfirms the weak form of the efficient market hypothesis (EMH). Strong evidence is presented for antipersistence of this index, suggesting capital markets do not price technology securities efficiently.
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  • Stochastic Dependence in Indian Capital Markets: A Fractal Analysis of the CNX Information Technology Index

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Authors

Robert F. Mulligan
Department of Accountancy, Finance, & Economics, College of Business, Western Carolina University, NC, United States
Debasish Banerjee
Associate Dean, College of Business, Western Carolina University, NC, United States

Abstract


This paper examines the CNX information technology index for stochastic dependence with Lo's modified rescaled-range technique. Next, five self-affine fractal analysis techniques are used for estimating the Hurst exponent, Mandelbrot-Lévy characteristic exponent, and fractal dimension. Techniques employed are rescaled-range analysis, power-spectral density analysis, roughness-length analysis, the variogram or structure function method, and wavelet analysis. Evidence against efficient valuation supports the multifractal model of asset returns (MMAR) and disconfirms the weak form of the efficient market hypothesis (EMH). Strong evidence is presented for antipersistence of this index, suggesting capital markets do not price technology securities efficiently.