Realized Jumps and Volatility Forecasting
The economic value of volatility timing with realized jumps
... the realized volatility estimator based on equidistant observations sampled at the conven- tional five minute frequency in order to control for market microstructure ...
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Do Jumps Matter? Forecasting Multivariate Realized Volatility allowing for Common Jumps
... point forecasting of realized ...and jumps are separately treated almost always provide better forecasts than models in which realized volatility is treated as a whole, in both ...
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The Role of Implied Volatility in Forecasting Future Realized Volatility and Jumps in Foreign Exchange, Stock, and Bond Markets
... (Mincer-Zarnowitz) forecasting performance obtained by splitting RV into its separate components also found by Andersen et ...Out-of-sample forecasting performance (MAFE) improves in the stock market when ...
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Forecasting Realized Volatility by Decomposition
... and forecasting the realized volatility of exchange rate, stock and bond returns by extracting the component due to jumps and including it as an explanatory variable in a HAR-RV regression ...
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Modeling and Forecasting Realized Volatility
... the realized daily quadratic return variation governing the ...the volatility and mean processes are independent of the within-period return ...discrete jumps in asset prices, rendering sample paths ...
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Realized volatility transmission: The role of jumps and leverage effects
... of volatility changes in the observed market (Table 1 and ...absolute forecasting error (MAFE) and mean root squared error (MRSE) for one-step ahead realized volatility forecasts than the ...
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Volatility Forecasting: The Jumps Do Matter
... of jumps for volatility forecasting by showing that jumps have a positive and mostly significant impact on future ...once volatility is correctly separated into its continuous and ...
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Volatility forecasting: the jumps do matter
... future volatility. This result becomes apparent once volatility is correctly separated into its continuous and discontinuous ...forecast volatility by employing an heterogeneous autoregressive (HAR) ...
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HAR Modeling for Realized Volatility Forecasting
... dX t = µ t dt + σ t dW t + c t dN t , (1.1) where µ t is predictable, σ t is c´adl´ag and N t is a doubly stochastic Poisson process 2 whose intensity is an adapted stochastic process λ t , the random times of the corre- ...
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Forecasting Realized Volatility of Agricultural Commodities
... for realized volatilities show signif- icant autocorrelation on all lags, tested with the Ljung-Box ...for realized volatilities, autocorrelated jump measures suggest that jumps in realized ...
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A factor approach to realized volatility forecasting in the presence of finite jumps and cross-sectional correlation in pricing errors
... in forecasting future RV . For an enhanced forecasting performance, we begin with identifying the discontinuous components using the jump tests before applying ...
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A factor approach to realized volatility forecasting in the presence of finite jumps and cross-sectional correlation in pricing errors
... Copyright and reuse: City Research Online aims to make research outputs of City, University of London available to a wider audience.. Copyright and Moral Rights remain with the author([r] ...
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The Implied-Realized Volatility Relation with Jumps in Underlying Asset Prices
... the forecasting of future realized ...in forecasting performance may be achieved by split- ting the explanatory variables into the separate continuous and jump components, compared to using only ...
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The Impact of Jumps and Leverage in Forecasting Co-Volatility
... using realized co-volatility ...to jumps; (ii) robustness to microstructure noise caused by, for example, the bid-ask bounce; (iii) ability to handle asynchronicity of the times at which transactions ...
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The Impact of Jumps and Leverage in Forecasting Co-Volatility
... using realized co-volatility ...to jumps; (ii) robustness to microstructure noise caused by, for example, the bid-ask bounce; (iii) ability to handle asynchronicity of the times at which transactions ...
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Forecasting Exchange Rate Volatility in the Presence of Jumps
... rate volatility from two separate data sources, namely, high-frequency (5-minute) $/DM spot exchange rate returns, allowing the computation of realized return volatility and its separate continuous ...
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Threshold bipower variation and the impact of jumps on volatility forecasting
... integrated volatility in the presence of jumps, while threshold-based estimator are much less sensitive to jumps and accordingly less ...threshold realized variance ...
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Volatility Forecasting: Downside Risk, Jumps and Leverage Effect
... and volatility dynamics. Those include volatility persis- tence, the volatility leverage and feedback effects, and jumps that induce skewness and leptokurtosis on the return and ...
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Forecasting oil price realized volatility: A new approach
... the realized volatility of crude oil prices, as well as, of gasoline, heating oil and the natural gas for three forecasting horizon, namely 1-day, 5-days and 22-days ...their realized ...
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Linear and nonlinear models for forecasting the realized volatility of cryptocurrencies
... for realized volatility cannot be used for correctly forecasting the Value at Risk for multiple periods ahead according to the test results from the unconditional and conditional coverage ...and ...
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