Modern Time Series Analysis in Forest Products Markets

Author:   Jens Abildtrup ,  F. Helles ,  Per Holten-Andersen ,  Jakob Fromholt Larsen
Publisher:   Springer
Edition:   Softcover reprint of the original 1st ed. 1999
Volume:   58
ISBN:  

9789401060059


Pages:   221
Publication Date:   12 October 2012
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Modern Time Series Analysis in Forest Products Markets


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Overview

"Since 1993 a major research programme, ""Stochastic Decision Analysis in Forest Management"" has been running at Department of Economics and Natural Resources, The Royal Veterinary and Agricultural University (KVL), Copenhagen, in collaboration with Institute of Mathematical Statistics, University of Copenhagen (KU). The research is funded by the two Universities; The Danish Agricultural and Veterinary Research Council; The Danish Research Academy; The National Forest and Nature Agency; and Danish Informatics Network in the Agricultural Sciepces (DINA). A first international workshop in the research programme was held 5 - 8 August, 1996 at Eldrupgaard, Denmark, within the frameworkofacollaborationagreementbetween University of California at Berkeley (UCB) and the Danish Universities, and funded by The Danish Research Academy and the L0venholm Foundation. Having participated in the workshop, Professor Peter Berck (UCB) suggested that the papers be published along with selected papers in the same scientific field, i.e. mainly cointegration analysis of time series in forestry. The editors express their sincere appreciations to the many persons who have contributed to the realisation of the present book: participants in the research programme and the workshop, in particular Professors S0ren Johansen (KU) and Peter Berck (UCB); authors outside the programme/workshop; reviewers of the papers not previously published, in particuler Associate Professors Niels Haldrup (Aarhus University) and Henrik Hansen (KVL); and finally Mrs Mette Riis and Lizzie Rohde who did the tedious work of giving the papers a uniform style. Copenhagen, October 1998."

Full Product Details

Author:   Jens Abildtrup ,  F. Helles ,  Per Holten-Andersen ,  Jakob Fromholt Larsen
Publisher:   Springer
Imprint:   Springer
Edition:   Softcover reprint of the original 1st ed. 1999
Volume:   58
Dimensions:   Width: 16.00cm , Height: 1.30cm , Length: 24.00cm
Weight:   0.384kg
ISBN:  

9789401060059


ISBN 10:   9401060053
Pages:   221
Publication Date:   12 October 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introducing Unit Roots and Cointegration.- I International Price Relations and Exchange Rates.- Spatial Integration in the Nordic Timber Markets: Long-Run Equilibria and Short-Run Dynamics.- Exchange Rate Pass-Through in Finnish Sawnwood Exports to The United Kingdom.- The Law of One Price in United Kingdom Soft Sawnwood Imports – A Cointegration Approach.- Internationalisation of Roundwood Markets – the Case of Denmark.- II Demand and Supply Models.- Modelling the Danish Demand for Roundwood Imports – a Cointegration and Common Trends Analysis.- Quarterly Model of the Finnish Sawlog and Pulpwood Markets – A Cointegration Analysis.- III Causality, Forecasting, and Expectations.- Estimation in a Long-Run, Short-Run Model.- Do Exports Stimulate Growth? Evidence from International Woodpulp Data.- Forecasting Danish Timber Prices with an Error Correction Model.- Forecasting International Pulp Prices with Producer Inventories.- IV Capital Asset Evaluation.- Testing a Present Value Model of Forest Land.- Exploring Sources of Systematic Risk in Danish Forest Asset Returns.- V Management Implications of Time Series Properties.- The Behaviour of Timber Rents in Sweden, 1909–1990.- Optimal Harvesting Policies with Stationary and Non-Stationary Prices: An Option Value Approach.- List of Authors.

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