Verlag: Nova Science Publishers Inc, 2013
ISBN 10: 162808751X ISBN 13: 9781628087512
Sprache: Englisch
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Verlag: Nova Science Publishers Inc, 2013
ISBN 10: 162808751X ISBN 13: 9781628087512
Sprache: Englisch
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Gebunden. Zustand: New. KlappentextrnrnMuch effort has gone into the study of financial markets and how prices vary with time. The usual approach of random walk is known to be inadequate to fully describe price dynamics. In this book, many different approaches are prov.
Verlag: Nova Science Publishers Inc, 2013
ISBN 10: 162808751X ISBN 13: 9781628087512
Sprache: Englisch
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Zustand: New. Editor(s): Petroni, Filippo. Num Pages: 214 pages, illustrations. BIC Classification: KFFM2. Category: (G) General (US: Trade). Dimension: 258 x 182 x 19. Weight in Grams: 636. . 2013. UK ed. Hardcover. . . . . Books ship from the US and Ireland.
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Verlag: Nova Science Publishers Inc, 2013
ISBN 10: 162808751X ISBN 13: 9781628087512
Sprache: Englisch
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Buch. Zustand: Neu. Stock Markets | Emergence, Macroeconomic Factors & Recent Developments | Buch | Gebunden | Englisch | 2013 | Nova Science Publishers Inc | EAN 9781628087512 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Verlag: Nova Science Publishers, Incorporated, 2013
ISBN 10: 162808751X ISBN 13: 9781628087512
Sprache: Englisch
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Verlag: Nova Science Publishers Inc Okt 2013, 2013
ISBN 10: 162808751X ISBN 13: 9781628087512
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - Much effort has gone into the study of financial markets and how prices vary with time. The usual approach of random walk is known to be inadequate to fully describe price dynamics. In this book, many different approaches are provided that use alternative and more adequate models. This book also examines the renewal theory in actuarial science. A simple actuarial model can be simulated well by means of this kind of stochastic process. A method dealing with the numerical solution of the renewal equation is presented. In addition, based on a theoretical model for opinion spreading on a network, through avalanches, the effect of external field is now considered, by using methods from non-equilibrium statistical mechanics. Furthermore, it is evident that the 2008-US sub-prime mortgage crisis broadly affected international financial markets. The crisis's magnitude impacted on Asian financial markets has not had much attention. To fill this gap, the authors examine changes in dependence structures between the US market and Asian financial markets before and after the crisis. The effect of optimal fiscal rules within a stochastic model of Keynesian type in the context of Poole (1970) analysis is derived. The authors extend the original Poole results concerning the output stabilisation properties of monetary policy to the case of fiscal policy. Different stochastic models based on a semi-Markov chains approach are used to study the high frequency price dynamics of traded stocks. The authors show that the models are able to reproduce important stylised facts of financial time series as the persistence of volatility. Finally, a new multi-agent model of the stock market is formulated that contains four states in which the agents may be located.
Buch. Zustand: Neu. Neuware - Credit risk is one of the most important contemporary problems for banks and insurance companies. Indeed, for banks, more than forty percent of the equities are necessary to cover this risk. Though this problem is studied by large rating agencies with substantial economic, social and financial tools, building stochastic models is nevertheless necessary to complete this descriptive orientation.This book presents a complete presentation of such a category of models using homogeneous and non-homogeneous semi-Markov processes developed by the authors in several recent papers. This approach provides a good method of evaluating the default risk and the classical VaR indicators used for Solvency II and Basel III governance rules.This book is the first to present a complete semi-Markov treatment of credit risk while also insisting on the practical use of the models presented here, including numerical aspects, so that this book is not only useful for scientific research but also to managers working in this field for banks, insurance companies, pension funds and other financial institutions.