TERM STRUCTURE OF INTEREST RATE AND ECONOMIC ACTIVITIES: OECD CASE

TERM STRUCTURE OF INTEREST RATE AND ECONOMIC ACTIVITIES: OECD CASE PDF Author: Assist. Prof. Dr. Erkan KARA
Publisher: EĞİTİM YAYINEVİ
ISBN: 6258223419
Category : Business & Economics
Languages : en
Pages : 99

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Book Description
This study is dedicated to investigating the long-run relation between interest rate spreads and economic activities which include industrial production, inflation, and unemployment rate- in OECD countries over the period between2005 and 2015 by using panel data analysis. This study will use the latest panel data models that take structural breaks and cross-sectional dependency into account. Besides using panel data analysis on this issue, this paper will also try to see the effect of new monetary policies that are taking place by major central banks on yield spread and economic activities, especially industrial production. As it is known that, in the post-financial crisis of 2008 period, major central banks such as the Federal Reserve1 (The FED was the first central bank that started to implement new monetary policies just after the collapse of several large-scale investment banks in the U.S), European Central Bank, Bank of Japan and Bank of England, have taken action to stimulate the world economy. Henceforth, not only these major central banks, but also other economies started to lower their policy interest rates soon in conventional way. These policies pushed interest rates almost to zero and since then the rates have remained very low due to lower output level and disinflationary fears.

TERM STRUCTURE OF INTEREST RATE AND ECONOMIC ACTIVITIES: OECD CASE

TERM STRUCTURE OF INTEREST RATE AND ECONOMIC ACTIVITIES: OECD CASE PDF Author: Assist. Prof. Dr. Erkan KARA
Publisher: EĞİTİM YAYINEVİ
ISBN: 6258223419
Category : Business & Economics
Languages : en
Pages : 99

Get Book Here

Book Description
This study is dedicated to investigating the long-run relation between interest rate spreads and economic activities which include industrial production, inflation, and unemployment rate- in OECD countries over the period between2005 and 2015 by using panel data analysis. This study will use the latest panel data models that take structural breaks and cross-sectional dependency into account. Besides using panel data analysis on this issue, this paper will also try to see the effect of new monetary policies that are taking place by major central banks on yield spread and economic activities, especially industrial production. As it is known that, in the post-financial crisis of 2008 period, major central banks such as the Federal Reserve1 (The FED was the first central bank that started to implement new monetary policies just after the collapse of several large-scale investment banks in the U.S), European Central Bank, Bank of Japan and Bank of England, have taken action to stimulate the world economy. Henceforth, not only these major central banks, but also other economies started to lower their policy interest rates soon in conventional way. These policies pushed interest rates almost to zero and since then the rates have remained very low due to lower output level and disinflationary fears.

Unit Roots, Cointegration, and Structural Change

Unit Roots, Cointegration, and Structural Change PDF Author: G. S. Maddala
Publisher: Cambridge University Press
ISBN: 9780521587822
Category : Business & Economics
Languages : en
Pages : 528

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Book Description
A comprehensive review of unit roots, cointegration and structural change from a best-selling author.

Multivariate Tests for Time Series Models

Multivariate Tests for Time Series Models PDF Author: Jeff B. Cromwell
Publisher: SAGE
ISBN: 9780803954403
Category : Social sciences
Languages : en
Pages : 116

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Book Description
Which time series test should researchers choose to best describe the interactions among a set of time series variables? Providing guidelines for identifying the appropriate multivariate time series model to use, this book explores the nature and application of these increasingly complex tests.

Principles of Forecasting

Principles of Forecasting PDF Author: J.S. Armstrong
Publisher: Springer Science & Business Media
ISBN: 0306476304
Category : Business & Economics
Languages : en
Pages : 840

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Book Description
Principles of Forecasting: A Handbook for Researchers and Practitioners summarizes knowledge from experts and from empirical studies. It provides guidelines that can be applied in fields such as economics, sociology, and psychology. It applies to problems such as those in finance (How much is this company worth?), marketing (Will a new product be successful?), personnel (How can we identify the best job candidates?), and production (What level of inventories should be kept?). The book is edited by Professor J. Scott Armstrong of the Wharton School, University of Pennsylvania. Contributions were written by 40 leading experts in forecasting, and the 30 chapters cover all types of forecasting methods. There are judgmental methods such as Delphi, role-playing, and intentions studies. Quantitative methods include econometric methods, expert systems, and extrapolation. Some methods, such as conjoint analysis, analogies, and rule-based forecasting, integrate quantitative and judgmental procedures. In each area, the authors identify what is known in the form of `if-then principles', and they summarize evidence on these principles. The project, developed over a four-year period, represents the first book to summarize all that is known about forecasting and to present it so that it can be used by researchers and practitioners. To ensure that the principles are correct, the authors reviewed one another's papers. In addition, external reviews were provided by more than 120 experts, some of whom reviewed many of the papers. The book includes the first comprehensive forecasting dictionary.

The Extended Energy–Growth Nexus

The Extended Energy–Growth Nexus PDF Author: Jose Alberto Fuinhas
Publisher: Academic Press
ISBN: 0128154446
Category : Business & Economics
Languages : en
Pages : 335

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Book Description
The Extended Energy-Growth Nexus: Theory and Empirical Applications advances the established bivariate econometric relationship which inextricably links energy consumption to economic growth. The book extends this "nexus" to accommodate variables such as globalization, institutional variables, financial variables and the energy "mix." Rooted firmly in the modern literature, it covers empirical applications such as the evaluation of renewable energy incentives, the electricity generation mix, and sustainable development. Each application area incorporates modern econometric methodologies, including VAR, panel VAR, ARDL, panel ARDL, Asymmetric panel ARDL, and Panel Quantile Regression. Throughout chapters are accompanied by illustrative Stata and EViews code, demonstrating their uses in applied research. - Primes researchers to understand advanced literature and current methodologies within the energy-growth nexus - Provides a rich set of working tools for econometricians working on real-world energy and growth problems - Accompanied by representative databases and illustrative Stata and EViews code, facilitating replication and use

Introduction to Statistical Time Series

Introduction to Statistical Time Series PDF Author: Wayne A. Fuller
Publisher: John Wiley & Sons
ISBN: 0470317752
Category : Mathematics
Languages : en
Pages : 734

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Book Description
The subject of time series is of considerable interest, especiallyamong researchers in econometrics, engineering, and the naturalsciences. As part of the prestigious Wiley Series in Probabilityand Statistics, this book provides a lucid introduction to thefield and, in this new Second Edition, covers the importantadvances of recent years, including nonstationary models, nonlinearestimation, multivariate models, state space representations, andempirical model identification. New sections have also been addedon the Wold decomposition, partial autocorrelation, long memoryprocesses, and the Kalman filter. Major topics include: * Moving average and autoregressive processes * Introduction to Fourier analysis * Spectral theory and filtering * Large sample theory * Estimation of the mean and autocorrelations * Estimation of the spectrum * Parameter estimation * Regression, trend, and seasonality * Unit root and explosive time series To accommodate a wide variety of readers, review material,especially on elementary results in Fourier analysis, large samplestatistics, and difference equations, has been included.

Using R for Principles of Econometrics

Using R for Principles of Econometrics PDF Author: Constantin Colonescu
Publisher: Lulu.com
ISBN: 1387473611
Category : Business & Economics
Languages : en
Pages : 278

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Book Description
This is a beginner's guide to applied econometrics using the free statistics software R. It provides and explains R solutions to most of the examples in 'Principles of Econometrics' by Hill, Griffiths, and Lim, fourth edition. 'Using R for Principles of Econometrics' requires no previous knowledge in econometrics or R programming, but elementary notions of statistics are helpful.

Islamic Finance and Circular Economy

Islamic Finance and Circular Economy PDF Author: Syed Nazim Ali
Publisher: Springer Nature
ISBN: 9811660611
Category : Business & Economics
Languages : en
Pages : 336

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Book Description
This book is the first of its kind to provide a critical overview and theoretical analysis of the Circular Economy from Shariah and Islamic Finance perspectives. The book is divided into three parts. The contributing authors pay close attention to Islamic Finance in light of sustainability and value creation. It also includes case studies on the Circular Economy application in Islamic Finance industry. The book is of interest to academics, students, and practitioners on Islamic Economics and Finance who have an interest in understanding the Circular Economy under the lens of Islamic Finance principles and applications.

Time Series Analysis: Methods and Applications

Time Series Analysis: Methods and Applications PDF Author: Tata Subba Rao
Publisher: Elsevier
ISBN: 0444538585
Category : Mathematics
Languages : en
Pages : 778

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Book Description
'Handbook of Statistics' is a series of self-contained reference books. Each volume is devoted to a particular topic in statistics, with volume 30 dealing with time series.

Time Series Analysis

Time Series Analysis PDF Author: George E. P. Box
Publisher: John Wiley & Sons
ISBN: 111867491X
Category : Mathematics
Languages : en
Pages : 712

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Book Description
Praise for the Fourth Edition "The book follows faithfully the style of the original edition. The approach is heavily motivated by real-world time series, and by developing a complete approach to model building, estimation, forecasting and control." —Mathematical Reviews Bridging classical models and modern topics, the Fifth Edition of Time Series Analysis: Forecasting and Control maintains a balanced presentation of the tools for modeling and analyzing time series. Also describing the latest developments that have occurred in the field over the past decade through applications from areas such as business, finance, and engineering, the Fifth Edition continues to serve as one of the most influential and prominent works on the subject. Time Series Analysis: Forecasting and Control, Fifth Edition provides a clearly written exploration of the key methods for building, classifying, testing, and analyzing stochastic models for time series and describes their use in five important areas of application: forecasting; determining the transfer function of a system; modeling the effects of intervention events; developing multivariate dynamic models; and designing simple control schemes. Along with these classical uses, the new edition covers modern topics with new features that include: A redesigned chapter on multivariate time series analysis with an expanded treatment of Vector Autoregressive, or VAR models, along with a discussion of the analytical tools needed for modeling vector time series An expanded chapter on special topics covering unit root testing, time-varying volatility models such as ARCH and GARCH, nonlinear time series models, and long memory models Numerous examples drawn from finance, economics, engineering, and other related fields The use of the publicly available R software for graphical illustrations and numerical calculations along with scripts that demonstrate the use of R for model building and forecasting Updates to literature references throughout and new end-of-chapter exercises Streamlined chapter introductions and revisions that update and enhance the exposition Time Series Analysis: Forecasting and Control, Fifth Edition is a valuable real-world reference for researchers and practitioners in time series analysis, econometrics, finance, and related fields. The book is also an excellent textbook for beginning graduate-level courses in advanced statistics, mathematics, economics, finance, engineering, and physics.