Little is known about the performance of the US stock market before 1802, and evidence for the years following 1802 through the 1830s remains scanty. This paper describes a new database on total returns in the US stock market for the first fifty years of its existence, constructed in large part...

The manner in which hostile takeovers have historically been executed has just begun to receive serious academic attention. Similarly, while the literature on the accuracy and determinants of share prices is voluminous, there has been little systematic historical analysis of when and how modern...

Investors have seen countless charts of US stock market performance which start in 1926 and end near the present. But US trading long predates 1926, and the foreshortened perspective that results from a focus on post-1926 data can be misleading. To compound the problem, visual and arithmetic...

This paper traces the origin and development of the complex systems theory over the course of history, up to its latest advancement in the study of stock market crashes. The trail of the theory's fuzzy evolution is expansive that covers the ground of the complexity epistemology, natural science...

For five stock market crashes, we compare price declines with predictions from market microstructure invariance. During the 1987 crash and the 2008 sales by Société Générale, prices fell by magnitudes similar to predictions from invariance. Larger-than-predicted temporary price declines...

The volatility premium is a well-documented phenomenon, which can be approximated by the difference between the previous month level of the VIX Index and the rolling 30-day close-to-close volatility. In concordance with existing literature, we show evidence that VIX is generally above the 30-day...

The returns predictions and price movements of financial markets are predicted through online search engines. These search engines claim to trade sentiments of individual investors. This study aims to determine the changes in the American stock market returns due to Bitcoin investors’...

Vector Auto Regression (VAR) and Beysian Vector Auto-Regression (BVAR) models are used to trace the dynamic linkages across daily returns of stock market indexes in the Middle East and the United States, and to investigate how a shock in one market is transmitted to other markets. The Middle...

The main goal of this study is to examine whether the cryptocurrency market impacts the stock market returns in the Gulf countries. Understanding this impact is quite interesting to clarify whether the cryptocurrency market and the stock market are substitutes or complements for investors. The...