The study examines a causal relationship between the stock market and economic growth variables for Kazakhstan. The stock market is found to promote economic growth in the country but the causation between the variables is not always significant. Consistent efforts are required on the part of...

This study addresses the question of whether the adaptive market hypothesis provides a better description of the behaviour of emerging stock market like India. We employed linear and nonlinear methods to evaluate the hypothesis empirically. The linear tests show a cyclical pattern in linear...

Harry Markowitz (1959) develops "mean-variance model". Based on this model, Sharpe (1964), Lintner (1965) and Black (1972) build CAPM. However, empirical findings are not in favor of CAPM. Then，Merton (1973) generalizes CAPM and proposes ICAPM. Afterwards, Fama and French (1996) take the idea...

This paper is an attempt to investigate the dynamic relationship between U.S. and Indian stock markets through the conditional volatility of two stock markets, during the 1995-2007 period, using the monthly data of BSE listed BSE 100 and NYSE listed S & P 500 indices. The research methodology...

Purpose - The current study aims to investigate the impacts of two behavioral biases, namely, loss aversion and overconfidence on the performance of US companies. First, the impact of loss aversion on the economic performance of companies was assessed. Second, the impact of overconfidence on...

This paper develops high-frequency econometric methods to test for jumps in the spread of bond yields. We derive a coherent inference procedure that detects a jump in the yield spread only if at least one of the two underlying bonds displays a jump. We formalize the test as a sequential...

We examine the relationship between Islamic and conventional stock market returns to see if Islamic financial markets provide portfolio diversification benefits and safe havens during turbulent times. Using daily data from January 1996 through September 2020 we consider conventional emerging...

In this work we use Recurrent Neural Networks and Multilayer Perceptrons, to predict NYSE, NASDAQ and AMEX stock prices from historical data. We experiment with different architectures and compare data normalization techniques. Then, we leverage those findings to question the efficient-market...

This paper investigates dynamic correlations of stock-bond returns for different stock indices and bond maturities. Evidence in the US shows that stock-bond relations are time-varying and display a negative trend. The stock-bond correlations are negatively correlated with implied volatilities in...

This paper develops a Monte-Carlo backtesting procedure for risk premia strategies and employs it to study Time-Series Momentum (TSM). Relying on time-series models, empirical residual distributions and copulas we overcome two key drawbacks of conventional backtesting procedures. We create...