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    <pubDate>Fri, 24 May 2013 05:34:50 GMT</pubDate>
    <dc:date>2013-05-24T05:34:50Z</dc:date>
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      <title>An overview of probabilistic and time series models in finance</title>
      <link>http://hdl.handle.net/10016/4906</link>
      <description>Title: An overview of probabilistic and time series models in finance
Author(s): Ruiz, Esther [ortega]
Abstract: In this paper, we partially review probabilistic and time series models in finance. Both discrete and continuous .time models are described. The characterization of the No- Arbitrage paradigm is extensively studied in several financial market contexts. As the probabilistic models become more and more complex to be realistic, the Econometrics needed to estimate them are more difficult. Consequently, there is still much research to be done on the link between probabilistic and time series models.</description>
      <pubDate>Fri, 31 Dec 2004 23:00:00 GMT</pubDate>
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      <dc:date>2004-12-31T23:00:00Z</dc:date>
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    <item>
      <title>Multivariate Stochastic Variance Models</title>
      <link>http://hdl.handle.net/10016/4783</link>
      <description>Title: Multivariate Stochastic Variance Models
Author(s): Harvey, Andrew; Ruiz, Esther [ortega]; Shephard, Neil
Abstract: Changes in variance, or volatility, over time can be modeled using the approach based on autoregressive conditional heteroscedasticity. Another approach is to model variance as an unobserved stochastic process. Although it is not easy to obtain the exact likelihood function for such stochastic variance models, they tie in closely with developments in finance theory and have certain statistical attractions. This article sets up a multivariate model, discusses its statistical treatment, and shows how it can be modified to capture common movements in volatility in a very natural way. The model is then fitted to daily observations on exchange rates.
Description: Publicado además en: The Review of Economic Studies, 1994, vol. 61, n. 2, p. 247-264; Publicado además en: Recent developments in Time Series, 2003, vol. 2, pp. 134-152; Publicado además en: Selected Readings for Stochastic Volatility, 2005, p. 156-176, ISBN10: 0199257191, ISBN13: 9780199257195</description>
      <pubDate>Sat, 31 Dec 1994 23:00:00 GMT</pubDate>
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      <dc:date>1994-12-31T23:00:00Z</dc:date>
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      <title>The spectral estimation of simultaneous equation systems with lagged endogenous variables</title>
      <link>http://hdl.handle.net/10016/3333</link>
      <description>Title: The spectral estimation of simultaneous equation systems with lagged endogenous variables
Author(s): Espasa, Antoni [espasa]</description>
      <pubDate>Thu, 31 Dec 1987 23:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/10016/3333</guid>
      <dc:date>1987-12-31T23:00:00Z</dc:date>
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    <item>
      <title>Cliver Granger: Sus semillas en econometría y su visión sobre la construcción de modelos empírico en economía</title>
      <link>http://hdl.handle.net/10016/3350</link>
      <description>Title: Cliver Granger: Sus semillas en econometría y su visión sobre la construcción de modelos empírico en economía
Author(s): Espasa, Antoni [espasa]</description>
      <pubDate>Sun, 31 Dec 2006 23:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/10016/3350</guid>
      <dc:date>2006-12-31T23:00:00Z</dc:date>
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