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Author: Aman Ullah
Publisher: CRC Press
ISBN: 9781420070361
Category : Mathematics
Languages : en
Pages : 532
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Book Description
Handbook of Empirical Economics and Finance explores the latest developments in the analysis and modeling of economic and financial data. Well-recognized econometric experts discuss the rapidly growing research in economics and finance and offer insight on the future direction of these fields. Focusing on micro models, the first group of chapters describes the statistical issues involved in the analysis of econometric models with cross-sectional data often arising in microeconomics. The book then illustrates time series models that are extensively used in empirical macroeconomics and finance. The last set of chapters explores the types of panel data and spatial models that are becoming increasingly significant in analyzing complex economic behavior and policy evaluations. This handbook brings together both background material and new methodological and applied results that are extremely important to the current and future frontiers in empirical economics and finance. It emphasizes inferential issues that transpire in the analysis of cross-sectional, time series, and panel data-based empirical models in economics, finance, and related disciplines.
Author: Aman Ullah
Publisher: CRC Press
ISBN: 9781420070361
Category : Mathematics
Languages : en
Pages : 532
Get Book Here
Book Description
Handbook of Empirical Economics and Finance explores the latest developments in the analysis and modeling of economic and financial data. Well-recognized econometric experts discuss the rapidly growing research in economics and finance and offer insight on the future direction of these fields. Focusing on micro models, the first group of chapters describes the statistical issues involved in the analysis of econometric models with cross-sectional data often arising in microeconomics. The book then illustrates time series models that are extensively used in empirical macroeconomics and finance. The last set of chapters explores the types of panel data and spatial models that are becoming increasingly significant in analyzing complex economic behavior and policy evaluations. This handbook brings together both background material and new methodological and applied results that are extremely important to the current and future frontiers in empirical economics and finance. It emphasizes inferential issues that transpire in the analysis of cross-sectional, time series, and panel data-based empirical models in economics, finance, and related disciplines.
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Category : Finance
Languages : en
Pages : 624
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Category : Banks and banking
Languages : en
Pages : 134
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Category : Economic forecasting
Languages : en
Pages : 76
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This is the third of a series of papers that are being written as part of a larger project to estimate a small quarterly Global Projection Model (GPM). The GPM project is designed to improve the toolkit for studying both own-country and cross-country linkages. In this paper, we estimate a small quarterly projection model of the US, Euro Area, and Japanese economies that incorporates oil prices and allows us to trace out the effects of shocks to oil prices. The model is estimated with Bayesian techniques. We show how the model can be used to construct efficient baseline forecasts that incorporate judgment imposed on the near-term outlook.
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Category : Radioactive waste disposal
Languages : en
Pages : 388
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Category : Canada
Languages : en
Pages : 56
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Author: Nicolas Audet
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Category : Finance
Languages : en
Pages : 86
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Author: Céline Gauthier
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Category : Foreign exchange rates
Languages : en
Pages : 21
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In this paper, we study the impact of supply shocks on the Canadian real exchange rate. We specify a structural vector-error-correction model that links the real exchange rate to different fundamentals. The identification scheme we use to recover the different shocks is based on long-run restrictions and allows us to decompose the real exchange rate according to different long-run trends, basically defined in terms of permanent shocks. Two main results emerge from our analysis. First, a positive supply shock in favour of Canada leads to a real exchange rate appreciation. Although consistent with the Balassa-Samuelson hypothesis, this result contradicts previous findings that have used a similar methodology. Second, commodity price shocks tend to dominate exchange rate movements over the short and medium run, but supply shocks have the largest impact over the long run. In particular, supply shocks explain most of the stochastic depreciation of the Canadian real exchange rate since the beginning of the 1990s.
Author: Susanne Hakuba
Publisher: ibidem-Verlag / ibidem Press
ISBN: 3838256816
Category : Business & Economics
Languages : en
Pages : 121
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In the 1990s, the global stock market experienced the birth of the new technology sector and an extraordinary increase in values. However, the surge of stock values came to an end in 2000 when stock markets dropped significantly. Especially the technology sector suffered greatly, and a high amount of wealth was erased by sharply falling markets. Could it have been possible to predict stock prices in such a market environment and, therefore, enable the equity investor to invest in undervalued stocks, if there were any? The key question for an investor in this context is whether an investment is fairly priced at the time of investment. This is of importance if one believes that stock prices can be overvalued or undervalued at times but adjust to their true values in the long-term. To form an opinion on whether an investment is fairly priced or not, i.e. overvalued or undervalued, an investor needs a valuation model. Such a model provides a theoretically correct value which can be used as a benchmark for the decision. In her study, Sussane Hakuba examines the forecasting capability of two selected valuation models for long-term equity investments over a nine-quarter time horizon (from the 4th quarter of 1999 to the 4th quarter of 2000): a) the two-stage free cash flow to equity (FCFE) model andb) the dividend discount model (DDM) as applied by JPMorgan Fleming. Susanne Hakuba looks at the application of the two equity valuation models analyzed including theory on the models, their inputs, and assumptions made. In addition, she provides discussion of the stock valuations performed and comes to conclusions and recommendations for future valuations applying the models examined.
Author: David Andolfatto
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Category : Kalman filtering
Languages : en
Pages : 56
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