Results 11 to 20 of about 1,174,040 (290)
How Does the Volatility of Volatility Depend on Volatility? [PDF]
Risks, 2020 We investigate the state dependence of the variance of the instantaneous variance of the S&P 500 index empirically. Time-series analysis of realized variance over a 20-year period shows strong evidence of an elasticity of variance of the variance parameter close to that of a log-normal model, albeit with an empirical autocorrelation function that ...
Sigurd Emil Rømer, Rolf Poulsen
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Volatility-of-Volatility Risk [PDF]
Journal of Financial and Quantitative Analysis, 2018 We show that market volatility of volatility is a significant risk factor that affects index and volatility index option returns, beyond volatility itself. The volatility and volatility of volatility indices, identified model-free as the VIX and VVIX, respectively, are only weakly related to each other.
Darien Huang +3 more
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On the Volatility of Volatility [PDF]
SSRN Electronic Journal, 2006 The Chicago Board Options Exchange (CBOE) Volatility Index, VIX, is calculated based on prices of out-of-the-money put and call options on the S&P 500 index (SPX). Sometimes called the "investor fear gauge," the VIX is a measure of the implied volatility of the SPX, and is observed to be correlated with the 30-day realized volatility of the SPX ...
Stephen D. H. Hsu, Brian M. Murray
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The Volatility of Realized Volatility [PDF]
Econometric Reviews, 2008 In recent years, with the availability of high-frequency financial market data modeling realized volatility has become a new and innovative research direction. The construction of “observable” or realized volatility series from intra-day transaction data and the use of standard time-series techniques has lead to promising strategies for modeling and ...
CORSI, Fulvio +3 more
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SSRN Electronic Journal, 2005 Volatility has been one of the most active and successful areas of research in time series econometrics and economic forecasting in recent decades. This chapter provides a selective survey of the most important theoretical developments and empirical insights to emerge from this burgeoning literature, with a distinct focus on forecasting applications ...
Andersen, Torben G. +3 more
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SSRN Electronic Journal, 2013 We examine whether fundamental measures of volatility are incremental to market based measures of volatility in (i) predicting bankruptcies (out of sample), (ii) explaining cross-sectional variation in credit spreads, and (iii) explaining future credit excess returns.
Correia, Maria +2 more
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Disaggregating non-volatile memory for throughput-oriented genomics workloads [PDF]
, 2018 Massive exploitation of next-generation sequencing technologies requires dealing with both: huge amounts of data and complex bioinformatics pipelines.
A Kawalia +5 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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Effect of essential oil on hypertrophic scars
Medisains, 2021 Background: Hypertrophic scars are abnormal scars resulted from a disrupted wound healing process. Hypertrophic scars can affect the body aesthetic of the sufferers, but, on the other hand, conventional therapy has not been optimally effective.
Ave Olivia Rahman +3 more
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Journal of Futures Markets, 1999 The forecasting ability of the most popular volatility forecasting models is examined and an alternative model developed. Existing models are compared in terms of four attributes: (1) the relative weighting of recent versus older observations, (2) the estimation criterion, (3) the trade-off in terms of out-of-sample forecasting error between simple and
Ederington, Louis H., Guan, Wei
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