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Volatile Voters and a Volatile Party System: The Results
2019The outcome of the Italian General Election of 2018 was largely unexpected. None of the competitors secured majorities of seats in both chambers, but, most importantly, populist parties such as the Five-star Movement and the League increased their shares of the vote to a much greater extent than predicted by most polls, while the mainstream parties ...
Alessandro Chiaramonte, Aldo Paparo
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A Stochastic Volatility Model, Volatility Smile and Forecasting Volatility
SSRN Electronic Journal, 2004In this paper we propose a stochastic valuation model based on the Fourier transform for option price. This model can be used for the valuation of European options, characterized by two state variables: the price of the underlying asset and its volatility.
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SSRN Electronic Journal, 2006
Growth and volatility correlate negatively across countries, but positively across sectors. Analytically, whether or not sectoral growth and volatility are correlated positively is irrelevant in the aggregate. Cross-country estimates identify the detrimental effects of macroeconomic volatility on growth, but they cannot be used to dismiss theories ...
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Growth and volatility correlate negatively across countries, but positively across sectors. Analytically, whether or not sectoral growth and volatility are correlated positively is irrelevant in the aggregate. Cross-country estimates identify the detrimental effects of macroeconomic volatility on growth, but they cannot be used to dismiss theories ...
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Volatility connectedness in the cryptocurrency market: Is Bitcoin a dominant cryptocurrency?
International Review of Financial Analysis, 2018Using the spillover index approach and its variants, we examine both static and dynamic volatility connectedness among eight typical cryptocurrencies. The results reveal that their connectedness fluctuates cyclically and has shown an obvious rise trend ...
Shuyue Yi, Zishu Xu, Gangjin Wang
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Volatility Processes and Volatility Forecast with Long Memory
SSRN Electronic Journal, 2002We introduce a new family of processes that include the long memory (power law) in the volatility correlation. This is achieved by measuring the historical volatility on a set of increasing time horizons and by computing the resulting effective volatility by a sum with power law weights. In the limit where only one component is included, the models are
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The signal of volatility [PDF]
The present study addresses the economic interpretation of stock market volatility. We argue that its character is inherently ambivalent, being considered as an indicator of either information flow or uncertainty.We discriminate between these views by measuring the fraction of price changes that feeds into other markets depending on the prevailing ...
Till Strohsal, Enzo Weber
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ANSWERING THE SKEPTICS: YES, STANDARD VOLATILITY MODELS DO PROVIDE ACCURATE FORECASTS*
, 1998Torben G. Andersen, Tim Bollerslev
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A Simple Approximate Long-Memory Model of Realized Volatility
, 2008F. Corsi
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Oil price volatility forecasting: Threshold effect from stock market volatility
Technological Forecasting and Social Change, 2022Gaoxiu Qiao, Feipeng Zhang
exaly

