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...

In this work we introduce the notion of implied Core Equity Tier 1 volatility and the concept of a risk-adjusted distance to trigger. Using a derivatives-based valuation approach, we are able to derive the implied CET1 volatility from the market price of a CoCo bond in a Black-Scholes setting....

We examine the pricing of tail risk in international stock markets. We find that the tail risk of different countries is highly integrated. Introducing a new World Fear index, we find that local and global aggregate market returns are mainly driven by global tail risk rather than local tail...

Recent price surge in commodity markets has stipulated the intensity of various factors which lead the price volatility. There are multiple-factors namely, traditional supply and demand, excess global liquidity (i.e., monetary inflows in commodity markets), and financialization i.e., financial...

We analyze the impact of high frequency (HF) trading in financial markets based on a model with three types of traders: liquidity traders (LTs), professional traders (PTs), and high frequency traders (HFTs). Our four main findings are: i) The price impact of liquidity trades is higher in the...

We analyze the impact of high frequency (HF) trading in financial markets based on a model with three types of traders: liquidity traders (LTs), professional traders (PTs), and high frequency traders (HFTs). Our four main findings are: i) The price impact of liquidity trades is higher in the...

This paper obtains monthly implied volatilities of the New York securities market from 1890 to 1934 from interest rate differentials. The implied volatilities did predict the 1929 crash but no other financial crisis. The historical implied volatilities are similar to their modern (2008-2019)...

We investigate all listed firms in Shanghai and Shenzhen stock Exchanges on extreme market movement days over 2010 to 2017, and highlight the important role of price limit on post extreme day stock returns. Utilising daily cash flow data of the largest trading group as a proxy of institutional...