Search Results - "Baruník, Jozef"
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Volatility Spillovers Across Petroleum Markets
Published in The Energy journal (Cambridge, Mass.) (01-07-2015)“…By using our newly defined measure, we detect and quantify asymmetries in the volatility spillovers of petroleum commodities: crude oil, gasoline, and heating…”
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Measuring the Frequency Dynamics of Financial Connectedness and Systemic Risk
Published in Journal of financial econometrics (01-03-2018)Get full text
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Quantile coherency: A general measure for dependence between cyclical economic variables
Published in The econometrics journal (01-05-2019)“…Summary In this paper, we introduce quantile coherency to measure general dependence structures emerging in the joint distribution in the frequency domain and…”
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Persistence in financial connectedness and systemic risk
Published in European journal of operational research (01-04-2024)Get full text
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Asymmetric volatility connectedness on the forex market
Published in Journal of international money and finance (01-10-2017)“…•The forex market exhibits asymmetric volatility connectedness.•We use high-frequency data of the most actively traded currencies over 2007–2015.•We document…”
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Asymmetric connectedness on the U.S. stock market: Bad and good volatility spillovers
Published in Journal of financial markets (Amsterdam, Netherlands) (01-01-2016)“…In this paper, we examine how to quantify asymmetries in volatility spillovers that emerge due to bad and good volatility. Using data covering most liquid U.S…”
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Cyclical properties of supply-side and demand-side shocks in oil-based commodity markets
Published in Energy economics (01-06-2017)“…Oil markets profoundly influence world economies through determination of prices of energy and transports. Using novel methodology devised in frequency domain,…”
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Forecasting the term structure of crude oil futures prices with neural networks
Published in Applied energy (15-02-2016)“…•We analyse term structure of crude oil markets.•New model for forecasting based on neural networks is proposed.•We show that even basic architecture of neural…”
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Total, Asymmetric and Frequency Connectedness between Oil and Forex Markets
Published in The Energy journal (Cambridge, Mass.) (15-03-2019)“…We analyze total, asymmetric and frequency connectedness between oil and forex markets using high-frequency, intra-day data over the period 2007–2017. By…”
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Risks of heterogeneously persistent higher moments
Published in International review of financial analysis (01-11-2024)“…Using intraday data for the cross-section of individual stocks, we show that both transitory and persistent fluctuations in realized market and average…”
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Are benefits from oil–stocks diversification gone? New evidence from a dynamic copula and high frequency data
Published in Energy economics (01-09-2015)“…Oil is perceived as a good diversification tool for stock markets. To fully understand this potential, we propose a new empirical methodology that combines…”
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Dynamic industry uncertainty networks and the business cycle
Published in Journal of economic dynamics & control (01-02-2024)“…This paper identifies smoothly varying industry uncertainty networks from option prices that contain valuable information about business cycles, especially in…”
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Good volatility, bad volatility: What drives the asymmetric connectedness of Australian electricity markets?
Published in Energy economics (01-08-2017)“…Efficient delivery of network services and the electricity infrastructure to meet the long-term consumer's interests are the main objectives and the strategies…”
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Predicting the volatility of major energy commodity prices: The dynamic persistence model
Published in Energy economics (01-12-2024)“…Time variation and persistence are crucial properties of volatility that are often studied separately in energy volatility forecasting models. Here, we propose…”
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Quantile Spectral Beta: A Tale of Tail Risks, Investment Horizons, and Asset Prices
Published in Journal of financial econometrics (15-11-2023)“…Abstract This article investigates how two important sources of risk—market tail risk (TR) and extreme market volatility risk—are priced into the cross-section…”
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Forecasting dynamic return distributions based on ordered binary choice
Published in International journal of forecasting (01-07-2019)“…We present a simple approach to the forecasting of conditional probability distributions of asset returns. We work with a parsimonious specification of ordered…”
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Combining high frequency data with non-linear models for forecasting energy market volatility
Published in Expert systems with applications (15-08-2016)“…•High-frequency data are coupled with nonlinear models to predict volatility.•Comprehensive evaluation of multiple-step ahead volatility forecasts is…”
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Measurement of common risks in tails: A panel quantile regression model for financial returns
Published in Journal of financial markets (Amsterdam, Netherlands) (01-01-2021)“…We investigate how to measure common risks in the tails of return distributions using the recently proposed panel quantile regression model for financial…”
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Gold, oil, and stocks: Dynamic correlations
Published in International review of economics & finance (01-03-2016)“…We employ a wavelet approach and conduct a time-frequency analysis of dynamic correlations between pairs of key traded assets (gold, oil, and stocks) covering…”
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Taming Data‐Driven Probability Distributions
Published in Journal of forecasting (19-11-2024)“…ABSTRACT We propose a deep learning approach to probabilistic forecasting of macroeconomic and financial time series. By allowing complex time series patterns…”
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