This study investigates the volatility connectedness between the Irish and Great Britain electricity markets and how it is driven by changes in energy policy, institutional structures and political ideologies. We assess various aspects of this volatility connectedness including static...

This paper studies the impact of corporate acquisitions - both domestic and cross-border - on the uncertainty faced by acquiring firms. We use data for UK publicly-listed firms from 2004 to 2017 and employ a matching estimator combined with difference-in-differences to control for the endogenous...

Volatility is one of the most important factors of investment decisions. Unexpected information forces the investor to trade abnormally in the market which in turn affects the volatility of the market. But this kind of trading behavior has a different impact on the different market segments....

Modelling the underlying long-run trend of metal prices is important, given that selected metals are a source of income for many countries. However, estimating the underlying trend has proven to be difficult, given the persistence and volatility of primary commodity prices-metals are no...

We consider several economic uncertainty indicators for the United States and the UK before and during the COVID-19 pandemic: implied stock market volatility, newspaper-based economic policy uncertainty, twitter chatter about economic uncertainty, subjective uncertainty about future business...

Does distance matter for the volatility of international real and financial transactions? We show that it does, in addition to its well-established relevance for the level of trade. A simple model of trade with endogenous markups shows that demand shocks have a larger impact on trade between...

Does distance matter for the volatility of international real and financial transactions? We show that it does, in addition to its well-established relevance for the level of trade. A simple model of trade with endogenous markups shows that demand shocks have a larger impact on trade between...

We analyze total, asymmetric and frequency connectedness between oil and forex markets using high-frequency, intra-day data over the period 2007 - 2017. By employing variance decompositions and their spectral representation in combination with realized semivariances to account for asymmetric and...

This paper investigates the direct theoretical relationship between the variance of stock returns (σ2E) and financial leverage (L) considering both corporate and personal taxes. Using a dataset of U.S. industrial firms, we examine the variance of stock returns as a function of the firm’s...

This paper investigates the impact of exchange rate volatility on exports in Vietnam using quarterly data from the first quarter of 2000 to the fourth quarter of 2014. The paper applies the autoregressive distributed lag (ARDL) bounds testing approach to the analysis of level relationships...

We propose a methodology to include night volatility estimates in the day volatility modeling problem with high-frequency data in a realized generalized autoregressive conditional heteroskedasticity (GARCH) framework, which takes advantage of the natural relationship between the realized measure...

This paper provides a systematic survey on return and volatility spillovers of cryptocurrencies based on the empirical results of relevant academic literature. Evidence reveals that Bitcoin is the most influential among digital coins mainly as a transmitter toward digital currencies but also as...

This study aims to examine the relevance of foreign ownership to stock return volatility in the Vietnam stock market over ten years (2008 - 2017). After applying the fixed effects regressions and the extended instrumental variable regressions with fixed effects, we find that foreign ownership...

This paper explores empirically the behavior of the Chicago Mercantile Exchange (CME) bitcoin futures contract. The analysis focuses on the time period between the launch of the CME bitcoin futures contract on December 18, 2017, and September 17, 2018. The behavior of the bitcoin spot market and...

This study examines the reaction of four major equity markets of the world to the US equity market fear index, i.e., the Chicago Board of Trade Volatility Index (VIX). The VIX is designed to perform as a leading indicator of the volatility in equity markets. Our paper examines the daily data for...

Does distance matter for the volatility of international real and financial transactions? We show that it does, in addition to its well-established relevance for the level of trade. A simple model of trade with endogenous markups shows that demand shocks have a larger impact on trade between...

The dynamics between trading volume and volatility for seven agricultural futures markets are examined by drawing on the large literature for equity markets and by allowing for heterogeneity of investors beliefs proxied by open interest. In addition, time-varying effects on the transmission...

Since the global financial crisis and the related restructuring of banking systems, bank concentration is on the rise in many countries. Consequently, bank size and its role for macroeconomic volatility (or: stability) is the subject of intense debate. This paper analyzes the effects of...

The primary objective of the study is to examine the impact of political news (good and bad news) on the returns and volatility of Borsa Istanbul 100 Index (BIST-100). Sample data cover the period from January 2008 to December 2017. The main sample was divided into two subperiods to insulate the...

This paper looks at economic growth and its fundamental determinants in Russia over the last decades. It starts by showing that, contrary to the views of some political commentators, growth is highly important for the popularity of president Putin. Furthermore, regular models of growth are...

Money laundering has become a global threat to the international stability and security, leading both to economic and social upheavals, and to an increase in terrorist threats. Therefore, an objective necessity arises for a more detailed study of the money laundering within the scope of its...

The purpose of the paper is twofold. First, it aims at identifying when UK and European (France, Germany, Italy and Spain) Credit Default Swaps(CDSs) exhibit explosivity with respect to their past behaviors. Second, it seeks to quantify the dynamics of CDS volatility spillover effects...

The generalized autoregressive conditional heteroscedastic model (GARCH) is used to estimate volatility for Nifty Index futures on day trades. The purpose is to find out if a contemporaneous or causal relation exists between volatility volume and open interest for Nifty Index futures traded on...

An approach to the modelling of volatile time series using a class of uniformity-preserving transforms for uniform random variables is proposed. V-transforms describe the relationship between quantiles of the stationary distribution of the time series and quantiles of the distribution of a...

We explore the 2020 and early 2021 price variation of four stocks: GameStop, AMC Entertainment Holdings, Blackberry and Nokia. The four stocks were subject to a decentralized short squeeze that exploited the short positions of institutional investors. This investor movement was likely initiated...