Investment behaviour, techniques and choices have evolved in the options markets since the launch of options trading in 1973. Today, we are entering the field of Big Data and the explosion of information, which has become the main feature of science, impacts investors' decisions and their...

We explored the application of a machine learning method, Logitboost, to automatically calibrate a trading model using different versions of the same technical analysis indicators. This approach takes advantage of boosting's feature selection capability to select an optimal combination of...

This paper deals with the modeling of the relationship of European Union Allowance spot- and futures-prices within the second commitment period of the European Union Emission Trading Scheme. Based on high frequency data, we analyze causality in the first and the second conditional moments. To...

We investigate the market-compatible degree of agent heterogeneity by identifying and analyzing the full range of conditional beliefs consistent with observed asset prices and good-deal bounds. Our methodology neither makes assumptions on underlying processes nor does it use survey data. It can...

In usual pricing approaches for weather derivatives, forward-looking information such as meteorological weather forecasts is not considered. Thus, important knowledge used by market participants is ignored in theory. By extending a standard model for the daily temperature, this paper allows the...

Using futures data for the period 1990 - 2008, this paper finds evidence that expansionary monetary policy surprises tend to increase crude and heating oil prices, and contractionary monetary policy shocks increase gold and platinum prices. Our analysis uncovers substantial heterogeneity in the...

Commodity derivatives were introduced in India with a dual purpose of promoting price discovery and enhancing risk management in the commodities market. A transaction tax (of 0.01 per cent) on commodity futures trading was introduced in the Union Budget 2013-14. This study examines the rationale...

When used as derivatives collateral, securities have to be exchanged for cash in the repo market. The repo market applies different haircuts from collateral agreements, creating a pocket of unsecured credit exposure and uncovered funding. Moreover, repo tenors are typically in months, so the...

In this paper, we solve in closed-form for the optimal investment strategies in both equity derivatives and VIX derivatives in a stochastic volatility model with jumps. This is motivated by the recent developments of the VIX derivatives market, and the increasing adoption of VIX derivatives in...

An important component of theoretical CBOE Volatility Index (VIX) futures prices is a term correcting for the negative convexity of the square root function by subtracting from the forward-starting variance swap rate an estimate of the future volatility of VIX futures prices. In the same fashion...