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The impact of disruptive technology on banking under switching volatility regimes
Technological and Economic Development of Economy, 2023 This paper uses the case of Spain to investigate whether and how disruptive technology impacts banking stock returns under a high volatility regime and a low volatility regime.
Laura Arenas +2 more
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İktisat Politikası Araştırmaları Dergisi, 2023 This study investigates the impact of terrorist attacks on the price fluctuations of Bitcoin prices and NFT sales. Although the value proposition of cryptocurrencies, Decentralized Finance, and the whole blockchain revolution is a quicker, cheaper, and ...
Firuze Simay Sezgin, Caner Özdurak
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Modeling Exchange Rate Volatility in Türkiye: An Empirical Research
İktisat Politikası Araştırmaları Dergisi, 2023 Exchange rate volatility is a concept that corresponds to the fluctuations around the equilibrium value of the exchange rate and is the main source of exchange rate risk as it adversely affects many variables that can disrupt macroeconomic stability ...
Sinem Kutlu Horvath +1 more
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Guangdong nongye kexue, 2022 【Objective】The volatile components and antibacterial activities of hydrosols from Cinnamomum camphora leaves were studied in order to provide references for the use of hydrosols as natural preservatives and disinfection products.【Method】Taking leaves of ...
Suhua YANG +6 more
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From volatility smiles to the volatility of volatility [PDF]
Decisions in Economics and Finance, 2019 The authors review models of the option surface and reduced-form models for stochastic volatility in continuous time, under the risk-neutral measure. They introduce ``forward volatilities'' (in analogy with forward interest rates in the term structure theory), and prove that such objects are conditional expected values, under the risk-neutral measure ...
Bernard Dumas, Elisa Luciano
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RAM. Revista de Administração Mackenzie, 2021 Purpose: The purpose of this study was to analyze the effect of investor sentiment on the volatility of the Brazilian stock market. Specifically, it aimed to identify if the asymmetric behavior of sentiment could be observed in emerging markets ...
Talieh S. V. Ferreira +2 more
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Volatility of volatility of financial markets [PDF]
Mathematical and Computer Modelling, 1998 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
L. Ingber, J.K. Wilson
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SSRN Electronic Journal, 2014 Estimating volatility from recent high frequency data, we revisit the question of the smoothness of the volatility process. Our main result is that log-volatility behaves essentially as a fractional Brownian motion with Hurst exponent H of order 0.1, at any reasonable time scale.
Gatheral, Jim +2 more
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Volatility Options in Rough Volatility Models [PDF]
SSRN Electronic Journal, 2018 We discuss the pricing and hedging of volatility options in some rough volatility models. First, we develop efficient Monte Carlo methods and asymptotic approximations for computing option prices and hedge ratios in models where log-volatility follows a Gaussian Volterra process.
Blanka Horvath +2 more
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Volatility Forecasting for Low-Volatility Investing
SSRN Electronic Journal, 2022 Low-volatility investing often involves sorting and selecting stocks based on retrospective risk measures, for example, the historical standard deviation of returns. In this paper, we use the volatility forecasts from a wide spectrum of volatility models to sort and select stocks and estimate portfolio weights.
Christian Conrad +2 more
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