In this article, the Universal Approximation Theorem of Artificial Neural Networks (ANNs) is applied to the SABR stochastic volatility model in order to construct highly efficient representations. Initially, the SABR approximation of Hagan et al. [2002] is considered, then a more accurate...

We investigate the impact of agent communication networks on prices in an artificial stock market. Networks with different centralization measures are tested for their effect on the volatility of prices. Trading strategies diffuse through the different network topologies, mimetic contagion...

This paper shows that in asset pricing the information environment gives rise to a systematic risk factor when the informativeness of future news events varies with their content (i.e., bad news and good news are not equally informative). The paper further shows that in such cases (cross) serial...

We develop a zero beta industry model of growth options to explain the conflicting empirical findings on the relation between stock returns and idiosyncratic return volatility at the firm level. By allowing for the volatility of the underlying idiosyncratic choice variables to exhibit...

We present an embarrassingly simple method for supervised learning of SABR model's European option price function based on lookup table or rote machine learning. Performance in time domain is comparable to generally used analytic approximations utilized in financial industry. However, unlike the...

In turbulent and volatile markets options can be a preferred asset class for protection against adverse market movements. When volatility increases and markets become sparsely traded, it is not always effective to hedge adverse market movements using any option. Options, where the underlying is...

This paper intends to contribute to the theoretical literature on the determinants of exchange rate fluctuations. We build an agent-based model, based on behavioral assumptions inspired by the literature on behavioral finance and by empirical surveys about the behavior of foreign exchange...

This paper intends to contribute to the theoretical literature on the determinants of exchange rate fluctuations. We build an agent-based model, based on behavioral assumptions inspired by the literature on behavioral finance and by empirical surveys about the behavior of foreign exchange...

The European economic integration and the financialization of the real estate certainly brought enormous contributions for the investment in this class of asset, on the other hand, the faster propagation of the shocks and the sudden corrections of markets become serious subjects. The aim of this...

High-frequency trading has become a dominant force in the U.S. capital market, accounting for over 70% of dollar trading volume. This study examines the implication of high-frequency trading for stock price volatility and price discovery. I find that high-frequency trading is positively...