ABSTRACT This paper develops and simulates a model of a Bayesian market maker who transacts with noise and position traders in derivative markets. The impact of noise trading is examined relative to price determination in FX futures, noise transmission from futures to options, and...

This study uses a vector error correction (VEC) model to examine price-volume relationships between open outcry and e-trading at the Chicago Board of Trade. We test whether equilibrium price corrections on one system are independent of the other, and whether this price behavior is more sensitive...

This article investigates price and trading volume relations for near term crude oil contracts at the New York Mercantile Exchange (NYMEX). The study investigates the informativeness of after-hours trading under the prior assumption that daytime and after-hours trading sessions are completely...

In March 2020 the U.S. equity market is suffering large losses. This is primarily due to COVID-19, which probably also caused a drop in the shale oil price. US market indices are fluctuating this month much more than any time in history. In this short note, we are using two high frequency market...

This paper presents a new financial market simulator that may be used as a tool in both industry and academia for research in market micro-structure. It allows multiple automated traders and/or researchers to simultaneously connect to an exchange-like environment, where they are able to...

In this paper, we propose an approach to modeling the jump component of a jump-diffusion model using a log mixture of normals distribution. We define explicitly theproperties of the distribution and use it to create an analytic formula for Europeanoption price. Numerous examples of applications...

Long term memory effects in stock market indices that represent internationally diversified stocks are analyzed in this paper and the results are compared with the S&P 500 index. The Hurst exponent and the Detrended fluctuation analysis (DFA) technique are the tools used for this analysis. The...

The empirical relationship between the return of an asset and the volatility of the asset has been well documented in the financial literature. Named the leverage e ffect or sometimes risk-premium effect, it is observed in real data that, when the return of the asset decreases, the volatility...

We treat the problem of option pricing under the Stochastic Volatility (SV) model: the volatility of the underlying asset is a function of an exogenous stochastic process, typically assumed to be meanreverting. Assuming that only discrete past stock information is available, we adapt an...