Prices and investors' behavior are heavily influenced by risk aversion. As it is unobservable, estimating risk aversion has been challenging for a long time. This paper proposes using a Machine Learning approach (a combination of Autoencoder and Long-Short Term Memory) to estimate the...

Volatility is a central tenet of financial markets, impacting a wide range of investors’ daily activities, including risk management, portfolio construction and option pricing. To improve their investment decisions, investors are spending considerable time and effort on finding new ways to...

We study the economic policy spillovers using framework developed by Diebold & Yilmaz (2009). Our main contribution is the analysis of the system of economic policy uncertainty spillovers at different persistence of frequency responses to shocks and to various magnitude of shocks. Mainly the...

Heavy tails and volatility clusters are both stylized facts of financial returns that destabilize markets. The former are extreme events by definition and the latter can accelerate adverse market developments. This work disentangles the two sources and examines which one does the greater damage...

In this paper, we analyzed a dataset of over 2000 crypto-assets to assess their credit risk by computing their probability of death using the daily range. Unlike conventional low-frequency volatility models that only utilize close-to-close prices, the daily range incorporates all the information...

This paper proposes an Exponential HEAVY (EHEAVY) model, which specifies the dynamics of returns and realized measures of volatility in an exponential form. The model ensures positivity of volatility and allows for asymmetric effects without restrictions on parameters, hence is more flexible. A...

This study examines the potential influence of exogenous shocks on time-varying correlations and portfolio strategies between the Asian emerging and other global stock markets including developed and other emerging markets. Using the ARMA-cDCC-FIEGARCH model with and without exogenous shocks,...

This paper examines volatility transmission between the spot and futures bitcoin markets. We use daily series over a sampling period that spans from December 2017 to September 2022. We examine several events that spread severe risk in cryptomarkets, such as the COVID-19 pandemic in 2020,...

Does Indian sovereign yield volatility reflect economic fundamentals, or whether it is a self-generated force flowing through markets with little connection to such fundamentals? To answer the question, this research explores the volatility dynamics and measures the persistence of shocks to the...