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En ces temps de crise financière, les marchés font l'unanimité contre eux : on les accuse d'affamer les peuples et de saper les fondements de la démocratie en mettant les États sous tutelle. Mais la crise n'explique pas tout. Les marchés semblent avoir abandonné leur rôle de « financiers » de l'économie pour devenir des casinos virtuels (dérivés de crédit, trader robots programmés par des docteurs en physique, bonus et prises de risques insensés qui peuvent pousser des banques à la faillite…). Les politiques, les entrepreneurs et les citoyens ne comprennent plus l'utilité des marchés. Cet ouvrage reprend ce débat. Comme souvent en économie, le diable est dans les détails. À travers leurs analyses approfondies, les contributeurs de ce livre rappellent que les marchés restent utiles mais en diagnostiquent les dysfonctionnements. Ils en déduisent des pistes de régulation, pour des marchés encadrés et réconciliés avec la société.
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Longer-term program engagement (LTPE) occurs when a member has spent at least seven of the past 10 years under Fund-supported financial arrangements.2 In response to the Executive Board's request for periodic updates on the incidence of LTPEs, this is the thirteenth such report and provides information through June 27, 2012.
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Longer-term program engagement (LTPE) occurs when a member has spent at least seven of the past 10 years under Fund-supported financial arrangements.2 In response to the Executive Board's request for periodic updates on the incidence of LTPEs, this is the thirteenth such report and provides information through June 27, 2012.
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The past twenty years have seen an extraordinary growth in the use of quantitative methods in financial markets. Finance professionals now routinely use sophisticated statistical techniques in portfolio management, proprietary trading, risk management, financial consulting, and securities regulation. This graduate-level textbook is intended for PhD students, advanced MBA students, and industry professionals interested in the econometrics of financial modeling. The book covers the entire spectrum of empirical finance, including: the predictability of asset returns, tests of the Random Walk Hypothesis, the microstructure of securities markets, event analysis, the Capital Asset Pricing Model and the Arbitrage Pricing Theory, the term structure of interest rates, dynamic models of economic equilibrium, and nonlinear financial models such as ARCH, neural networks, statistical fractals, and chaos theory. Each chapter develops statistical techniques within the context of a particular financial application. This exciting new text contains a unique and accessible combination of theory and practice, bringing state-of-the-art statistical techniques to the forefront of financial applications. Each chapter also includes a discussion of recent empirical evidence, for example, the rejection of the Random Walk Hypothesis, as well as problems designed to help readers incorporate what they have read into their own applications.
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Finance --- Capital market --- Investments
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