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    <title>DSpace community: Universitat Rovira i Virgili</title>
    <link>http://hdl.handle.net/2072/1743</link>
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      <url>http://www.recercat.net/retrieve/3854</url>
      <link>http://hdl.handle.net/2072/1743</link>
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      <title>Co-movements between US and UK stock prices: the roles of macroeconomic information and time-series varying conditional correlations</title>
      <link>http://hdl.handle.net/2072/8950</link>
      <description>title: Co-movements between US and UK stock prices: the roles of macroeconomic information and time-series varying conditional correlations authors: Aslanidis, Nektarios; Osborn, Denise R.; Sensier, Marianne
&lt;br&gt;abstract: This paper provides evidence on the sources of co-movement in monthly US and UK&#xD;
stock price movements by investigating the role of macroeconomic and financial&#xD;
variables in a bivariate system with time-varying conditional correlations. Crosscountry&#xD;
communality in response is uncovered, with changes in the US Federal Funds&#xD;
rate, UK bond yields and oil prices having similar negative effects in both markets.&#xD;
Other variables also play a role, especially for the UK market. These effects do not,&#xD;
however, explain the marked increase in cross-market correlations observed from&#xD;
around 2000, which we attribute to time variation in the correlations of shocks to&#xD;
these markets. A regime-switching smooth transition model captures this time&#xD;
variation well and shows the correlations increase dramatically around 1999-2000.&#xD;
JEL classifications: C32, C51, G15&#xD;
Keywords: international stock returns, DCC-GARCH model, smooth transition&#xD;
conditional correlation GARCH model, model evaluation.
&lt;br&gt;</description>
      <pubDate>Mon, 29 Oct 2007 22:58:59 GMT</pubDate>
    </item>
    <item>
      <title>All-pay auction equilibria in contests</title>
      <link>http://hdl.handle.net/2072/5368</link>
      <description>title: All-pay auction equilibria in contests authors: Alcalde, José; Dahm, Matthias
&lt;br&gt;abstract: We analyze (non-deterministic) contests with anonymous contest success functions.&#xD;
There is no restriction on the number of contestants or on their valuations for the&#xD;
prize. We provide intuitive and easily verifiable conditions for the existence of an&#xD;
equilibrium with properties similar to the one of the (deterministic) all-pay auction.&#xD;
Since these conditions are fulfilled for a wide array of situations, the predictions of&#xD;
this equilibrium are very robust to the specific details of the contest. An application&#xD;
of this result contributes to fill a gap in the analysis of the popular Tullock rent-&#xD;
seeking game because it characterizes properties of an equilibrium for increasing&#xD;
returns to scale larger than two, for any number of contestants and in contests with&#xD;
or without a common value.&#xD;
Keywords: (non-) deterministic contest, all-pay auction, contest success functions.&#xD;
JEL Classification Numbers:&#xD;
C72 (Noncooperative Games),&#xD;
D72 (Economic Models of Political Processes: Rent-Seeking, Elections),&#xD;
D44 (Auctions).
&lt;br&gt;</description>
      <pubDate>Mon, 29 Oct 2007 22:58:59 GMT</pubDate>
    </item>
    <item>
      <title>Market effects of foreign exchange coordinated intervention</title>
      <link>http://hdl.handle.net/2072/5366</link>
      <description>title: Market effects of foreign exchange coordinated intervention authors: Ferré Carracedo, Montserrat; Manzano, Carolina
&lt;br&gt;abstract: In this article we develop a theoretical microstructure model of coordinated central bank intervention based on asymmetric information. We&#xD;
study the economic implications of coordination on some measures of market quality and show that the model predicts higher volatility and more&#xD;
significant exchange rate changes when central banks coordinate compared&#xD;
to when they intervene unilaterally. Both these predictions are in line with&#xD;
empirical evidence.&#xD;
Keywords: coordinated foreign exchange intervention, market microstructure.&#xD;
JEL Classification: D82, E58, F31, G14
&lt;br&gt;</description>
      <pubDate>Mon, 29 Oct 2007 22:58:59 GMT</pubDate>
    </item>
    <item>
      <title>A nonlinear threshold model for the dependence of extremes of stationary sequences</title>
      <link>http://hdl.handle.net/2072/5361</link>
      <description>title: A nonlinear threshold model for the dependence of extremes of stationary sequences authors: Martínez Ibáñez, Oscar; Olmo, José
&lt;br&gt;abstract: One of the main implications of the efficient market hypothesis (EMH) is that expected&#xD;
future returns on financial assets are not predictable if investors are risk neutral. In this&#xD;
paper we argue that financial time series offer more information than that this hypothesis&#xD;
seems to supply. In particular we postulate that runs of very large returns can be predictable&#xD;
for small time periods. In order to prove this we propose a TAR(3,1)-GARCH(1,1) model&#xD;
that is able to describe two different types of extreme events: a first type generated by large&#xD;
uncertainty regimes where runs of extremes are not predictable and a second type where&#xD;
extremes come from isolated dread/joy events. This model is new in the literature in nonlinear&#xD;
processes. Its novelty resides on two features of the model that make it different from previous&#xD;
TAR methodologies. The regimes are motivated by the occurrence of extreme values and&#xD;
the threshold variable is defined by the shock affecting the process in the preceding period.&#xD;
In this way this model is able to uncover dependence and clustering of extremes in high&#xD;
as well as in low volatility periods. This model is tested with data from General Motors&#xD;
stocks prices corresponding to two crises that had a substantial impact in financial markets&#xD;
worldwide; the Black Monday of October 1987 and September 11th, 2001. By analyzing the&#xD;
periods around these crises we find evidence of statistical significance of our model and thereby&#xD;
of predictability of extremes for September 11th but not for Black Monday. These findings&#xD;
support the hypotheses of a big negative event producing runs of negative returns in the first&#xD;
case, and of the burst of a worldwide stock market bubble in the second example.&#xD;
JEL classification: C12; C15; C22; C51&#xD;
Keywords and Phrases: asymmetries, crises, extreme values, hypothesis testing, leverage effect,&#xD;
nonlinearities, threshold models
&lt;br&gt;</description>
      <pubDate>Mon, 29 Oct 2007 22:58:59 GMT</pubDate>
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