Forecasting based pricing of Weather Derivatives (WDs) is a new approach in valuation of contingent claims on nontradable underlyings. Standard techniques are based on historical weather data. Forward-looking information such as meteorological forecasts or the implied market price of risk (MPR)...

Using a new dataset which contains monthly data on 1,015 stocks traded on the London Stock Exchange between 1825 and 1870, we investigate the cross section of stock returns in this early capital market. Unique features of this market allow us to evaluate the veracity of several popular...

The stock beta coefficient literature extensively discusses the proper methods for the estimation of beta as well as its use in asset valuation. However, there are fewer references with respect to the appropriate time horizon that investors should utilize when evaluating the risk-return...

This paper studies the effect of investor sentiment on the London stock market on a daily basis over the period 1899 to 2010. We use a broad mix of reporting from the Financial Times as our proxy for investor sentiment. The main contribution of this paper is threefold. First, newspaper...

Using a novel dataset where all traders are identifiable, we examine trading in the shares of a major company on the London Stock Exchange before 1920. Our main finding is that bid-ask spreads increased in the presence of informed trades. However, we also find that spreads narrowed during...

Fractal Analysis assesses the fractal characteristics of data. It consists of several methods to assign a fractal dimension and other fractal characteristics in a data set which may be a theoretical data set or a pattern of signals extracted from phenomena including natural geometric objects,...

There has been an extraordinary decrease in order execution time on stock exchanges in the past two decades. A related question is whether there has been a similar reduction in orders of magnitude for the lengths of the lead lag time between stocks. If the answer is affirmative, and the lengths...

In this paper, we explore whether the adaptive markets hypothesis (AMH) describes the efficiency of the Finnish stock market better than the efficient markets hypothesis (EMH) does. Building on this, we also test how small market size and market liberalisation impact the efficiency of the...

Understanding sectoral dynamic dependence across equity indexes is crucial for investment decisions and designing economic policy. This study examines the sectoral dependence among 82 Pakistani companies using a vine copula approach and daily data from July 1, 2014, to December 17, 2019. Vine...