Oil plays a very important role in the Indian economy and the stock market. In India, oil is key factor as nearly 85% of crude oil requirements are fulfilled through imports. It is believed that Indian stock market and crude oil are inversely proportional. In the past, it was seen that when...

We derive lower and upper bounds on the conditional market autocorrelation index at various investment horizons without using the precise form of the utility function. The bounds are derived in terms of option prices and can be computed at daily frequency for any given horizon. The bounds...

We consider whether key financial variables predict macroeconomic series and if any predictive power for output growth is also seen in consumption or investment growth. Such information will allow the use of financial markets as a leading indicator for macroeconomic performance. Full sample...

India is taken into account a high potential investment destination all-over the world even though it has some challenges like political, social, cultural complexities.Wide literature survey is available on the macroeconomic factors affecting the Indian stock market volatility. There is a...

This study investigates stock price movements in response to macroeconomic shocks, allowing for asymmetry in this relationship. Given Ferson's (1989) finding that large and small stocks can exhibit different risk behaviors, we examine the behaviors of the KOSPI and KOSDAQ stock markets in...

This paper examines the information content of two different measures of aggregate equity-market order flow for future macro fundamentals and expected stock market returns. The first measure, the cross-sectional average of individual stock order flows, predicts future growth rates for industrial...

Many econophysics applications have modeled financial systems as if they were pure physical systems devoid of human limitations and errors. On the other hand, traditional financial theory has ignored limits that physics would impose on human interactions, communications, and computational...

By using a nonlinear VAR model, we investigate whether the response of the US stock and housing markets to uncertainty shocks depends on financial conditions. Our model allows us to change the response of the US financial markets to volatility shocks in periods of normal and financial distress....

Beaudry and Portier (2006) provide support for the "news view" of the business cycle, using a vector error correction model. We show that this result hinges on a cointegrating relationship between TFP and stock prices that is not stationary, thus making the estimates not reliable. If we alter...

We extract dynamic conditional factor premiums from the Fama-French factor model and find that most anomalies disappear after one accounts for time variation in these premiums. Vector autoregression evidence shows that mutual causation between dynamic conditional alphas and macroeconomic...