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Author: Katarina Juselius
Publisher: OUP Oxford
ISBN: 0191622966
Category : Business & Economics
Languages : en
Pages : 478
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Book Description
This valuable text provides a comprehensive introduction to VAR modelling and how it can be applied. In particular, the author focuses on the properties of the Cointegrated VAR model and its implications for macroeconomic inference when data are non-stationary. The text provides a number of insights into the links between statistical econometric modelling and economic theory and gives a thorough treatment of identification of the long-run and short-run structure as well as of the common stochastic trends and the impulse response functions, providing in each case illustrations of applicability. This book presents the main ingredients of the Copenhagen School of Time-Series Econometrics in a transparent and coherent framework. The distinguishing feature of this school is that econometric theory and applications have been developed in close cooperation. The guiding principle is that good econometric work should take econometrics, institutions, and economics seriously. The author uses a single data set throughout most of the book to guide the reader through the econometric theory while also revealing the full implications for the underlying economic model. To test ensure full understanding the book concludes with the introduction of two new data sets to combine readers understanding of econometric theory and economic models, with economic reality.
Author: Katarina Juselius
Publisher: OUP Oxford
ISBN: 0191622966
Category : Business & Economics
Languages : en
Pages : 478
Get Book Here
Book Description
This valuable text provides a comprehensive introduction to VAR modelling and how it can be applied. In particular, the author focuses on the properties of the Cointegrated VAR model and its implications for macroeconomic inference when data are non-stationary. The text provides a number of insights into the links between statistical econometric modelling and economic theory and gives a thorough treatment of identification of the long-run and short-run structure as well as of the common stochastic trends and the impulse response functions, providing in each case illustrations of applicability. This book presents the main ingredients of the Copenhagen School of Time-Series Econometrics in a transparent and coherent framework. The distinguishing feature of this school is that econometric theory and applications have been developed in close cooperation. The guiding principle is that good econometric work should take econometrics, institutions, and economics seriously. The author uses a single data set throughout most of the book to guide the reader through the econometric theory while also revealing the full implications for the underlying economic model. To test ensure full understanding the book concludes with the introduction of two new data sets to combine readers understanding of econometric theory and economic models, with economic reality.
Author: Kenneth D. Heil
Publisher:
ISBN:
Category : Cactus
Languages : en
Pages : 84
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Book Description
Author: Marine Habart-Corlosquet
Publisher: John Wiley & Sons
ISBN: 1118733983
Category : Business & Economics
Languages : en
Pages : 176
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Book Description
With the impact of the recent financial crises, more attention must be given to new models in finance rejecting “Black-Scholes-Samuelson” assumptions leading to what is called non-Gaussian finance. With the growing importance of Solvency II, Basel II and III regulatory rules for insurance companies and banks, value at risk (VaR) – one of the most popular risk indicator techniques plays a fundamental role in defining appropriate levels of equities. The aim of this book is to show how new VaR techniques can be built more appropriately for a crisis situation. VaR methodology for non-Gaussian finance looks at the importance of VaR in standard international rules for banks and insurance companies; gives the first non-Gaussian extensions of VaR and applies several basic statistical theories to extend classical results of VaR techniques such as the NP approximation, the Cornish-Fisher approximation, extreme and a Pareto distribution. Several non-Gaussian models using Copula methodology, Lévy processes along with particular attention to models with jumps such as the Merton model are presented; as are the consideration of time homogeneous and non-homogeneous Markov and semi-Markov processes and for each of these models. Contents 1. Use of Value-at-Risk (VaR) Techniques for Solvency II, Basel II and III. 2. Classical Value-at-Risk (VaR) Methods. 3. VaR Extensions from Gaussian Finance to Non-Gaussian Finance. 4. New VaR Methods of Non-Gaussian Finance. 5. Non-Gaussian Finance: Semi-Markov Models.
Author:
Publisher:
ISBN:
Category : Electronic government information
Languages : en
Pages : 64
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Book Description
Author: Jorge Tovar
Publisher: Springer Nature
ISBN: 3030848140
Category : Sports & Recreation
Languages : en
Pages : 93
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Book Description
This book analyzes the 2018 and 2019 men's and women's World Cups to understand how the use of Video Assistant Referees (VAR) affected each tournament. Unlike goal technology, where the decision is entirely left to the machine's algorithm, the VAR still has a human component, making it prone to errors and controversies. Building on the theories of justice, the book quantitatively reviews event-level data while using a historical perspective to depict a novel approach to the effects of VAR in major soccer tournaments. The six chapters examine the use of VAR, discuss when it was not used (but maybe should have been used), and explore how the World Cup evolved with the new technology. Combining the VAR events of 2018 and 2019 with comparable situations from past World Cups guides the reader into debating the meaning of justice and the potential of ever achieving fairness in soccer.
Author: Gianni Amisano
Publisher: Springer Science & Business Media
ISBN: 3642606237
Category : Business & Economics
Languages : en
Pages : 194
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Book Description
In recent years a growing interest in the structural V AR approach (SV AR) has followed the path-breaking works by Blanchard and Watson (1986), Bernanke (1986) and Sims (1986), especially in the U.S. applied macroeconometric literature. The approach can be used in two different, partially overlapping, directions: the interpretation of business cycle fluctuations of a small number of significant macroeconomic variables and the identification of the effects of different policies. SV AR literature shows a common feature: the attempt to "organise", in a "structural" theoretical sense, instantaneous correlations among the relevant variables. In non-structural V AR modelling, instead, correlations are normally hidden in the variance covariance matrix of the V AR model innovations. of independent V AR analysis tries to isolate ("identify") a set shocks by means of a number of meaningful theoretical restrictions. The shocks can be regarded as the ultimate source of stochastic variation of the vector of variables which can all be seen as potentially endogenous. Looking at the development of SV AR literature we felt that it still lacked a formal general framework which could embrace the several types of models so far proposed for identification and estimation. This is the second edition of the book, which originally appeared as number 381 of the Springer series "Lecture notes in Economics of the first edition was Carlo and Mathematical Systems". The author Giannini.
Author: Carlo Giannini
Publisher: Springer Science & Business Media
ISBN: 3662027577
Category : Business & Economics
Languages : en
Pages : 144
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Book Description
1. Introduction 1 2. Identification Analysis and F.I.M.L. Estimation for the K-Mode1 10 3. Identification Analysis and F.I.ML. Estimation for the C-Model 23 4. Identification Analysis and F.I.M.L. Estimation for the AB-Model 32 5. Impulse Response Analysis and Forecast Error Variance Decomposition in SVAR Modeling 44 5 .a Impulse Response Analysis 44 5.b Variance Decomposition (by Antonio Lanzarotti) 51 6. Long-run A-priori Information. Deterministic Components. Cointegration 58 6.a Long-run A-priori Information 58 6.b Deterministic Components 62 6.c Cointegration 65 7. The Working of an AB-Model 71 Annex 1: The Notions ofReduced Form and Structure in Structural VAR Modeling 83 Annex 2: Some Considerations on the Semantics, Choice and Management of the K, C and AB-Models 87 Appendix A 93 Appendix B 96 Appendix C (by Antonio Lanzarotti and Mario Seghelini) 99 Appendix D (by Antonio Lanzarotti and Mario Seghelini) 109 References 128 Foreword In recent years a growing interest in the structural VAR approach (SVAR) has followed the path-breaking works by Blanchard and Watson (1986), Bemanke (1986) and Sims (1986), especially in U.S. applied macroeconometric literature. The approach can be used in two different, partially overlapping directions: the interpretation ofbusiness cycle fluctuations of a small number of significantmacroeconomic variables and the identification of the effects of different policies.
Author: Sue Gardner
Publisher:
ISBN:
Category : Cactus
Languages : en
Pages : 64
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Book Description
Author: A. E. Squillace
Publisher:
ISBN:
Category : Monoterpenes
Languages : en
Pages : 28
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Book Description
Author: Mr.Charalambos G. Tsangarides
Publisher: International Monetary Fund
ISBN: 1451962789
Category : Business & Economics
Languages : en
Pages : 35
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Book Description
Applying commonly used vector autoregression (VAR) techniques, this paper investigates the transmission mechanism of monetary policy on output and prices for Mauritius, using data for 1999-2009. The results show that (i) an unexpected monetary policy tightening-an increase in the Bank of Mauritius policy interest rate-leads to a decline in prices and output but the effect on output is weaker; (ii) an unexpected decrease in the money supply or an unexpected increase in the nominal effective exchange rate result in a decrease in prices; and (iii) variations of the policy variables account for small a percentage of the fluctuations in output and prices. Taken together, these results suggest a rather weak monetary policy transmission mechanism. Finally, we find some differences in the transmission mechanism depending on whether core or headline consumer price index is used in the estimations.
