The major purpose of this research exercise is to assess the volatility dynamics of the stock returns of the banks of India and to determine the factor which influence and explains the stock returns. For this the two important methodologies are applied, for understanding the sensitivity of stock...

This paper extends wavelet methodology to handle co-movement dynamics of multivariate time series via moving weighted regression on wavelet coefficients. The concept of wavelet local multiple correlation is used to produce one single set of multi-scale correlations along time, in contrast with...

This paper deals with estimating peaked densities over the interval [0,1] using the Uneven Two-Sided Power Distribution (UTP). This distribution is the most complex of all the bounded power distributions introduced by Kotz and van Dorp (2004). The UTP maximum likelihood estimator, a result not...

Many studies estimate the impact of exposure to some quasi-experimental policy or event using a panel event study design. These models, as a generalized extension of 'difference-in-differences' or two-way fixed effect models, allow for dynamic lags and leads to the event of interest to be...

This study examines time-series momentum in the Chinese commodity futures market. The findings show that a time-series momentum strategy performs best with a one-month look-back period and a one-month holding period. Furthermore, this strategy outperforms passive long and cross-sectional...

The aim within this paper is to analyze the difference between momentum and contrarian portfolios constructed under the cross-sectional and time-series analysis, within the commodity futures markets. The returns indicate that the contrarian portfolios are the most profitable, as well as it’s...