activity
20122024
most citedCo-movement of energy commodities revisited: Evidence from wavelet coherence analysis

505 citations · 1k across the 23 of their papers we have counts for

collaborators

36 papers

q-fin.GN2024

Predicting the volatility of major energy commodity prices: the dynamic persistence model

Jozef Barunik, Lukas Vacha

Time variation and persistence are crucial properties of volatility that are often studied separately in energy volatility forecasting models. Here, we propose a novel approach tha…

econ.GN2022

Learning Probability Distributions in Macroeconomics and Finance

Jozef Barunik, Lubos Hanus

We propose a deep learning approach to probabilistic forecasting of macroeconomic and financial time series. Being able to learn complex patterns from a data rich environment, our…

q-fin.GN2021

Risks of heterogeneously persistent higher moments

Jozef Barunik, Josef Kurka

Using intraday data for the cross-section of individual stocks, we show that both transitory and persistent fluctuations in realized market and average idiosyncratic volatility, sk…

q-fin.GN2021

Volatility Shocks and Currency Returns

Mykola Babiak, Jozef Barunik

This paper examines how shocks to currency volatilities predict exchange rates. Using option-implied volatilities, we construct a dynamic, directed network of volatility connection…

econ.GN2021

Dynamic industry uncertainty networks and the business cycle

Jozef Barunik, Mattia Bevilacqua, Robert Faff

We argue that uncertainty network structures extracted from option prices contain valuable information for business cycles. Classifying U.S. industries according to their contribut…

q-fin.GN2020

Deep Learning, Predictability, and Optimal Portfolio Returns

Mykola Babiak, Jozef Barunik

We study the dynamic portfolio selection of an investor who uses deep learning methods to forecast stock market excess returns. In a two-asset allocation problem, deep neural netwo…

q-fin.GN2020★ 1 cited

Dynamic Network Risk

Jozef Barunik, Michael Ellington

This paper examines the pricing of short-term and long-term dynamic network risk in the cross-section of stock returns. Stocks with high sensitivities to dynamic network risk earn…

q-fin.GN2020

Investment Disputes and Abnormal Volatility of Stocks

Jozef Barunik, Zdenek Drabek, Matej Nevrla

Dramatic growth of investment disputes between foreign investors and host states rises serious questions about the impact of those disputes on investors. This paper is the first to…

q-fin.GN2019

Sentiment-Driven Stochastic Volatility Model: A High-Frequency Textual Tool for Economists

Jozef Barunik, Cathy Yi-Hsuan Chen, Jan Vecer

We propose how to quantify high-frequency market sentiment using high-frequency news from NASDAQ news platform and support vector machine classifiers. News arrive at markets random…

q-fin.ST2019

Co-jumping of Treasury Yield Curve Rates

Jozef Barunik, Pavel Fiser

We study the role of co-jumps in the interest rate futures markets. To disentangle continuous part of quadratic covariation from co-jumps, we localize the co-jumps precisely throug…

q-fin.GN2018

Asymmetric Network Connectedness of Fears

Jozef Barunik, Mattia Bevilacqua, Radu Tunaru

This paper introduces forward-looking measures of the network connectedness of fears in the financial system, arising due to the good and bad beliefs of market participants about u…

q-fin.GN2018

Total, asymmetric and frequency connectedness between oil and forex markets

Jozef Baruník, Evžen Kočenda

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 deco…

q-fin.ST2017

Forecasting dynamic return distributions based on ordered binary choice

Stanislav Anatolyev, Jozef Barunik

We present a simple approach to forecasting conditional probability distributions of asset returns. We work with a parsimonious specification of ordered binary choice regression th…

q-fin.PR2017

Measurement of Common Risk Factors: A Panel Quantile Regression Model for Returns

Frantisek Cech, Jozef Barunik

This paper investigates how to measure common market risk factors using newly proposed Panel Quantile Regression Model for Returns. By exploring the fact that volatility crosses al…

q-fin.GN2016

Asymmetric volatility connectedness on forex markets

Jozef Barunik, Evzen Kocenda, Lukas Vacha

We show how bad and good volatility propagate through forex markets, i.e., we provide evidence for asymmetric volatility connectedness on forex markets. Using high-frequency, intra…

q-fin.GN2016

Cyclical properties of supply-side and demand-side shocks in oil-based commodity markets

Tomas Krehlik, Jozef Barunik

Oil markets profoundly influence world economies through determination of prices of energy and transports. Using novel methodology devised in frequency domain, we study the informa…

q-fin.ST2016

Do co-jumps impact correlations in currency markets?

Jozef Barunik, Lukas Vacha

We quantify how co-jumps impact correlations in currency markets. To disentangle the continuous part of quadratic covariation from co-jumps, and study the influence of co-jumps on…

math.ST2015

Quantile Coherency: A General Measure for Dependence between Cyclical Economic Variables

Jozef Baruník, Tobias Kley

In this paper, we introduce quantile coherency to measure general dependence structures emerging in the joint distribution in the frequency domain and argue that this type of depen…

stat.ME2015

Measuring the frequency dynamics of financial connectedness and systemic risk

Jozef Barunik, Tomas Krehlik

We propose a new framework for measuring connectedness among financial variables that arises due to heterogeneous frequency responses to shocks. To estimate connectedness in short-…

q-fin.GN2015★ 1 cited

Forecasting the term structure of crude oil futures prices with neural networks

Jozef Barunik, Barbora Malinska

The paper contributes to the rare literature modeling term structure of crude oil markets. We explain term structure of crude oil prices using dynamic Nelson-Siegel model, and prop…

q-fin.ST2014

How does bad and good volatility spill over across petroleum markets?

Jozef Barunik, Evzen Kocenda, Lukas Vacha

We detect and quantify asymmetries in volatility spillovers using the realized semivariances of petroleum commodities: crude oil, gasoline, and heating oil. During the 1987--2014 p…

q-fin.ST2013★ 43 cited

Contagion among Central and Eastern European stock markets during the financial crisis

Jozef Barunik, Lukas Vacha

This paper contributes to the literature on international stock market comovements and contagion. The novelty of our approach lies in application of wavelet tools to high-frequency…

q-fin.PM2013★ 7 cited

Can we still benefit from international diversification? The case of the Czech and German stock markets

Krenar Avdulaj, Jozef Barunik

One of the findings of the recent literature is that the 2008 financial crisis caused reduction in international diversification benefits. To fully understand the possible potentia…

q-fin.ST2013

Semiparametric Conditional Quantile Models for Financial Returns and Realized Volatility

Filip Zikes, Jozef Barunik

This paper investigates how the conditional quantiles of future returns and volatility of financial assets vary with various measures of ex-post variation in asset prices as well a…