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The ECB Monetary Policy and the Current Financial Crisis. (2011). Zikes, Filip ; Karamanou, Pany ; Theodosiou, Marina ; Kleanthous, Lena .
In: Working Papers.
RePEc:cyb:wpaper:2011-1.

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  1. Explaining the convenience yield in the WTI crude oil market using realized volatility and jumps. (2014). Sévi, Benoît ; Sevi, Benoit.
    In: Working Papers.
    RePEc:ipg:wpaper:2014-602.

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  2. Forecasting the volatility of crude oil futures using intraday data. (2014). Sévi, Benoît ; Sevi, Benoit.
    In: Working Papers.
    RePEc:ipg:wpaper:2014-53.

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References

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Cocites

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  1. Predicting intraday jumps in stock prices using liquidity measures and technical indicators. (2019). Azencott, Robert ; Zhu, Hongliang ; Kong, AO.
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  2. Robustness and sensitivity analyses for stochastic volatility models under uncertain data structure. (2019). Ziegler, Philipp ; Sobotka, Tom'Avs ; Posp, Jan.
    In: Papers.
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  3. Risk of Bitcoin Market: Volatility, Jumps, and Forecasts. (2019). Kuo, Weiyu ; Hardle, Wolfgang Karl ; Hu, Junjie.
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  4. Does ambiguity matter? Estimating asset pricing models with a multiple-priors recursive utility. (2015). Kim, Hwagyun ; Jeong, Daehee ; Park, Joon Y..
    In: Journal of Financial Economics.
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  5. Two-step estimation of the volatility functions in diffusion models with empirical applications. (2015). Ye, Xu-Guo ; Hao, Hong-Xia ; Zhao, Yan-Yong ; Lin, Jin-Guan.
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  6. Uncertainty Shocks and Equity Return Jumps and Volatility During the Great Depression. (2014). Mathy, Gabriel.
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  7. Modeling CAC40 volatility using ultra-high frequency data. (2013). Floros, Christos ; Degiannakis, Stavros.
    In: Research in International Business and Finance.
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  8. Jumps in Oil Prices: The Role of Economic News. (2013). Elder, John ; Ramchander, Sanjay ; John Elder, Hong Miao,, .
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  9. Price jumps in Visegrad-country stock markets: An empirical analysis. (2012). Novotny, Jan ; Hanousek, Jan.
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  10. Bayesian Pricing of the Optimal-Replication Strategy for European Option in the JD(M)J Model. (2012). Kostrzewski, Maciej.
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  11. New tests for jumps in semimartingale models. (2010). Podolskij, Mark ; Ziggel, D..
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  12. Do Jumps Matter? Forecasting Multivariate Realized Volatility allowing for Common Jumps. (2010). Vahid, Farshid ; Liao, Yin ; Anderson, Heather.
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  13. Continuous-time models, realized volatilities, and testable distributional implications for daily stock returns. (2010). Nielsen, Morten ; Bollerslev, Tim ; Andersen, Torben ; Morten Ørregaard Nielsen, ; Frederiksen, Per .
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  14. Realising the future: forecasting with high-frequency-based volatility (HEAVY) models. (2010). Sheppard, Kevin ; Shephard, Neil.
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  15. Nonparametric tests for pathwise properties of semimartingales. (2010). Mancini, Cecilia ; Cont, Rama.
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  16. Do Jumps Matter? Forecasting Multivariate Realized Volatility Allowing for Common Jumps. (2010). Vahid, Farshid ; Liao, Yin ; Anderson, Heather.
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  17. Learning and Asset-Price Jumps. (2009). Bansal, Ravi ; Shaliastovich, Ivan.
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  18. Empirical evidence on jumps in the term structure of the US Treasury Market. (2009). Smith, L. Vanessa ; Dungey, Mardi ; McKenzie, Michael .
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  19. The Relationship Between the Volatility of Returns and the Number of Jumps in Financial Markets. (2009). Cartea, Álvaro ; Karyampas, Dimitrios .
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  20. Limit theorems for functionals of higher order differences of Brownian semi-stationary processes. (2009). Podolskij, Mark ; Barndorff-Nielsen, Ole ; Corcuera, Jose Manuel .
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  21. Understanding limit theorems for semimartingales: a short survey. (2009). Podolskij, Mark ; Vetter, Mathias .
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  22. Stochastic volatility of volatility in continuous time. (2009). Veraart, Almut ; Barndorff-Nielsen, Ole ; Almut E. D. Veraart, .
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  25. Volatility forecasting: the jumps do matter. (2008). Renò, Roberto ; Corsi, Fulvio ; Pirino, Davide ; Reno, Roberto.
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  26. The Role of Implied Volatility in Forecasting Future Realized Volatility and Jumps in Foreign Exchange, Stock, and Bond Markets. (2008). Nielsen, Morten ; Christensen, Bent Jesper ; Busch, Thomas.
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