Explore
Commodity Market Finance
0 Ungluers have
Faved this Work
Login to Fave
Commodity markets have evolved substantially since the early 2000s and have become more financialized. The recent cold war between the U.S.A. and China, the outbreak of COVID-19, and Russia's invasion of Ukraine have caused resource prices to soar, leading to greater volatility in the commodity markets. The volatility of the commodity markets has increased, and at the same time, financial markets such as the stock market, bond market, and foreign exchange market have become unstable. This has increased the linkage between the commodity and financial markets and has led to a great deal of attention being paid to the commodity markets by governments, companies, and investors.This reprint delves into recent developments in the commodity markets and elucidates the multifaceted factors that have shaped their trajectory. It examines how the interwoven dynamics of supply and demand, geopolitics, technology, and financialization have brought about a new era in commodity trading. By providing a comprehensive survey of these developments, we aim to provide insights that will help stakeholders successfully navigate the challenges and opportunities presented by this evolving landscape.
This book is included in DOAB.
Why read this book? Have your say.
You must be logged in to comment.
Rights Information
Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.Downloads
This work has been downloaded 33 times via unglue.it ebook links.
- 33 - pdf (CC BY) at Unglue.it.
Keywords
- Agriculture
- altcoin
- Antiques & collectables
- arbitrage
- ARIMA
- asymmetric volatility spillover
- Bermudan commodity options
- Bitcoin
- Commodities
- commodity
- connectedness
- COVID-19
- cryptocurrency
- Cycles
- Efficiency
- energy market volatility
- Euro
- extreme gradient boosting
- fear index
- financialization
- frequency connectedness
- Futures
- G7 and BRIC markets
- global vector autoregressive model
- Gold
- high frequency
- hybrid forecasting approaches
- implied and realized volatility
- international equity markets
- investing
- Lifestyle, sport & leisure
- liquidity
- long short-term memory
- LSTM
- Machine learning
- market integration
- Markets
- Markov-regime switching models
- MF-DFA
- multi-asset stochastic volatility model
- multi-layer perceptron
- oil and stock returns
- oil price dynamics
- oil price uncertainty shocks
- Pandemic
- Platinum
- random forest
- random forest regression
- returns
- Risk
- Russia and Ukraine conflict
- seasonal decomposition
- sentiment analysis
- Stock
- TVP-VAR
- two-step forecasting approaches
- volatility risk premium (VRP)
- wavelet transformation