Our paper uses simulation methods to examine the size and power of regime-switching tests for bubbles. We find that even with several hundred observations, the tests show sometimes considerable size distortion. This distortion makes the tests conservative; they understate the significance of the...

Recent research has indicated that livestock producers who want to manage risk and diversify their operations should invest in the stock market. This research evaluates whether or not a portfolio of publicly held companies that are first handlers of pork products would provide pork producers...

Purpose – The purpose of this paper is to determine how an index of agribusiness stocks performs relative to the S&P 500 particularly in times of recession. Design/methodology/approach – Using value-weighted indexes of agribusiness stocks, large cap US stocks, and copula estimation, the...

Purpose – This study aims to explore the mutual relation of corporate accidents, stock market responses, and media coverage. Design/methodology/approach – This paper empirically investigated 119 listed firms' accidents during the 2005-2012 period using the methods of event study, correlation...

Stock price forecasting is a classic problem facing analysts. Forecasting models have been developed for predicting individual stocks and stock indices around the world and in numerous industries. According to a literature review, these models have yet to be applied to the restaurant industry....

This study has examined the IPO performance in India from 2007 to 2013. Results show that under-pricing exists in the first day of trading during the particular period, but results show that the degree of under-pricing is dramatically decreased in comparison with what is shown in previous...

This article proposes an approach to constructing sentiment lexicons in the financial domain. The approach takes advantages of news bulletins and a given financial variable, such as stock prices, to generate candidates of sentiment expressions by fusing the two data sources. The candidates are...

The present article predicts the movement of daily Indian stock market (S&P CNX Nifty) price by using Feedforward Neural Network Model over a period of eight years from January 1st 2008 to April 8th 2016. The prediction accuracy of the model is accessed by normalized mean square error (NMSE) and...

Social media-based forecasting has received significant attention from academia and industries in recent years. With a focus on Twitter, this paper investigates whether sentiments of the tweets regarding the 7 largest US financial service companies (in U.S. dollars) are related to the stock...

This paper develops a simple model to study the impact of stock markets on the current account. The model allows for an arbitrary number of risky assets, which form an incomplete market, as well as a risk-free bond. A closed-form solution for the current account is derived from the optimal...