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Introductory Econometrics for Finance

TLDR
The third edition has been updated with new data, extensive examples and additional introductory material on mathematics, making the book more accessible to students encountering econometrics for the first time as discussed by the authors.
Abstract
This bestselling and thoroughly classroom-tested textbook is a complete resource for finance students. A comprehensive and illustrated discussion of the most common empirical approaches in finance prepares students for using econometrics in practice, while detailed case studies help them understand how the techniques are used in relevant financial contexts. Worked examples from the latest version of the popular statistical software EViews guide students to implement their own models and interpret results. Learning outcomes, key concepts and end-of-chapter review questions (with full solutions online) highlight the main chapter takeaways and allow students to self-assess their understanding. Building on the successful data- and problem-driven approach of previous editions, this third edition has been updated with new data, extensive examples and additional introductory material on mathematics, making the book more accessible to students encountering econometrics for the first time. A companion website, with numerous student and instructor resources, completes the learning package.

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Citations
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Dynamic causality in energy production and output growth in Nigeria revisited: ARDL bounds test approach

TL;DR: In this article, the authors revisited the dynamic causality in energy production and real output growth in Nigeria and adopted the Autoregressive Distributed Lag (ARDL) bounds test methodology developed by Pesaran et al. with the modified Granger causality test within the framework of an unrestricted vector autoregressive model.
Journal ArticleDOI

Prosperity index as a measure of wellbeing in european union and western balkan countries

TL;DR: In this article, the authors analyzed the European Union and Western Balkan states during the last ten years using data for Legatum Prosperity Index (LPI), a relatively new and comprehensive indicator which describes in a unique way the level and the dynamics of prosperity in the countries across the world.

Time-Varying Beta of Scandinavian Industries: The Crisis Experience

TL;DR: In this article, the effects of the current financial crisis on the time-varying beta of industries in the Scandinavian region were empirically studied, given the influence of the crisis on worldwide financial markets.
Journal ArticleDOI

Abd dolari / türk li̇rasi dövi̇z kuru volati̇li̇tesi̇ni̇n modellenmesi̇: 2001-2018 dönemi̇

Mustafa Yaman, +1 more
TL;DR: In this paper, Lirasinin et al. discuss the state of the art in the field of politik problem in Turkey, including the ABD Dolari/TL model and the TARCH(1,1) model.
References
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Journal ArticleDOI

A new look at the statistical model identification

TL;DR: In this article, a new estimate minimum information theoretical criterion estimate (MAICE) is introduced for the purpose of statistical identification, which is free from the ambiguities inherent in the application of conventional hypothesis testing procedure.

Estimating the dimension of a model

TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.
Journal ArticleDOI

The Pricing of Options and Corporate Liabilities

TL;DR: In this paper, a theoretical valuation formula for options is derived, based on the assumption that options are correctly priced in the market and it should not be possible to make sure profits by creating portfolios of long and short positions in options and their underlying stocks.
Book

Econometric Analysis of Cross Section and Panel Data

TL;DR: This is the essential companion to Jeffrey Wooldridge's widely-used graduate text Econometric Analysis of Cross Section and Panel Data (MIT Press, 2001).
Journal ArticleDOI

A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity

Halbert White
- 01 May 1980 - 
TL;DR: In this article, a parameter covariance matrix estimator which is consistent even when the disturbances of a linear regression model are heteroskedastic is presented, which does not depend on a formal model of the structure of the heteroSkewedness.
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