Modeling and Forecasting Primary Commodity Prices
Regular price
€63.99
14 days return policy
Shipping & Delivery
A01=Walter C. Labys
AA AA
AA AA AA
AA AA AA AA
advanced commodity price forecasting
Age Group_Uncategorized
Age Group_Uncategorized
Author_Walter C. Labys
automatic-update
break
Category1=Non-Fiction
Category=KF
Category=KFF
chaotic dynamics
commodity market cycles
Commodity Price
Commodity Price Behavior
Commodity Price Series
COP=United Kingdom
cycles
Daubechies Wavelets
Delivery_Pre-order
econometric modelling
Endogenous Break Tests
eq_bestseller
eq_business-finance-law
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Father Wavelet
Forecasting Primary Commodity Prices
Fractal Dimension
Hurst Exponent
hypothesis
Language_English
lyapunov
Model Model Model Model Model
Multi-resolution Analysis
Multiresolution Analysis
PA=Temporarily unavailable
Power Law Exponent
Price Cycles
Price Series
Price_€50 to €100
PS=Active
root
RR RR
series
softlaunch
structural
structural breaks
STS
STS Approach
STS Model
time
time series analysis
Time Trend Specification
unit
Unit Root Null Hypothesis
Unit Roots
wavelet methods
Product details
- ISBN 9781138383692
- Weight: 760g
- Dimensions: 156 x 234mm
- Publication Date: 06 Jun 2019
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
- Language: English
Secure
checkout
Fast Shipping
Easy returns
Recent economic growth in China and other Asian countries has led to increased commodity demand which has caused price rises and accompanying price fluctuations not only for crude oil but also for the many other raw materials. Such trends mean that world commodity markets are once again under intense scrutiny. This book provides new insights into the modeling and forecasting of primary commodity prices by featuring comprehensive applications of the most recent methods of statistical time series analysis. The latter utilize econometric methods concerned with structural breaks, unobserved components, chaotic discovery, long memory, heteroskedasticity, wavelet estimation and fractional integration. Relevant tests employed include neural networks, correlation dimensions, Lyapunov exponents, fractional integration and rescaled range. The price forecasting involves structural time series trend plus cycle and cyclical trend models. Practical applications focus on the price behaviour of more than twenty international commodity markets.
Professor Walter C. Labys is Benedum Distinguished Scholar in the Agricultural and Resource Economics Program at West Virginia University, USA. He is Gunnar Myrdal Scholar at the United Nations Economics Commission for Europe and has been Faculty Research Associate of the Group on Applied Econometric Research at the University of the Mediterranean (Aix-Marseille) in France. Over the past thirty years, Professor Labys has pioneered in the development and application of econometric methods important for analyzing commodity price behaviour, the modelling of agricultural, mineral and energy markets, and the impact of commodity markets on the stability and growth of surrounding developing economies. He has authored and co-authored more than fourteen books and numerous articles in leading journals of agricultural, energy and resource economics as well as international trade.
