This paper presents a new transform-based approach for path-independent lattice construction for pricing American options under low-dimensional stochastic volatility models. We derive multidimensional transforms which allow us to construct efficient path-independent lattices for virtually all...

The impact of COVID-19, due to the wide-spread demand and supply destruction and downward movement of crude oil prices is of concern for all those connected with the oil and gas industry. In this study, an attempt has been made to estimate the price volatility of crude oil and natural gas listed...

We investigate the impact that the publication of the Bank of England's Financial Stability Report (FSR) has on the stock returns and credit default swap spreads of UK financial institutions. Examining a sample of 73 UK-listed banks and other financial institutions, we find that publication of...

During the recent financial crisis, there was a dramatic spike, across all industries, in the volatility of individual firm share prices after adjustment for movements in the market as a whole. In this Article, we demonstrate that a similar spike has occurred with each major downturn in the...

Property-casualty (P&C) insurers are exposed to rare but severe natural disasters. This paper analyzes the relation between catastrophe risk and the implied volatility smile of insurance stock options. We find that the slope is significantly steeper compared to non-financials and other financial...

The Taiwan Stock Exchange consecutively shortened the time between clearings three times from 2013 to 2015. With a series of natural experiments that are gradually unavailable worldwide, we aim to investigate the relationship between clearing frequency and stock volatility. Using intraday...

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...

Using the vector autoregression (VAR) analysis, this study empirically documents the impulse response functions of financial stress and market risk premiums and performs a causality test of these two variables. The analysis of the monthly changes of the Federal Reserve Bank of St. Louis...

This paper combines dimensional analysis, leverage neutrality, and a principle of market microstructure invariance to derive scaling laws expressing transaction costs functions, bid-ask spreads, bet sizes, number of bets, and other financial variables in terms of dollar trading volume and...

The accurate forecast of the foreign currencies exchange rates at the ultra high frequency electronic trading in the foreign currencies exchange markets is a main topic of our research: 1) the present state of the foreign currencies exchange markets in Asia, Europe and North America; 2) the...