Global commodity markets will stay weak

Headline INTERNATIONAL: Commodity markets will stay weak

Subject 3D printing and its ramifications for commodities. Significance General Electric (GE) calls 3D printing "the next industrial revolution". The technique promises to disrupt the manufacturing process, including supply and distribution chains, and to eliminate waste while producing superior and otherwise unmakeable components and reducing marginal costs. 3D printing currently consumes negligible amounts of commodities, but, as adoption expands, it may start affecting commodity supply chains. Impacts Wide adoption of 3D printing will reduce manufacturing waste and idle inventory. 3D printing will enable the development and use of smart materials. Printable electronics could change the usage and functionality of some materials. The potentially limitless customisation of mass-market products will spawn new digital design-to-distribution production platforms.


Author(s):  
Andrii BLAHODATNYI

The article examines the role of the commodity exchange as an innovative and institutional element in the development of international commodity markets. The current trends in the development of the international commodity stock market have been determined, compared to the volumes of world futures and options for 2018-2019, the number of outstanding contracts and their changes have been investigated. The transformation processes inherent in the international commodity exchange are considered and characterized. The structure of the international stock market by geographical regions is reflected. Trading volumes in different regions of 2019 are compared to 2018. Analysis of futures, options index of the capital index, interest rate trading, energy futures, options trading and precious metals trade have been done. The results of the world's largest stock exchanges by volume of trading in 2018-2019 are presented. One of the criteria examined is the volume of trading on the Intercontinental Exchange, which is due to the lower level of activity on all its subsidiaries in Europe, North America and the Asia-Pacific region. The current state of stock exchange trade in Ukraine is analysed, examples of obstacles for the effective functioning of stock exchanges of Ukraine are given. The development of commodity exchanges in Ukraine over recent years is considered, with an indication of the tendency of their development. Examples of commodities are indicated that will be used for the development of the commodity stock market of Ukraine. The statistical information on the number and structure of exchanges by specialization, their characteristics and role are investigated. The conclusions on the stock role market in an economy have been formed. The international experience of trading on the exchanges is generalized. The evolution of the stock market from the fair to the modern electronic stock market with its advantages and convenience is noted. The conclusions of the development of stock exchange trade in Ukraine are summarized: namely obstacles to its development and misunderstanding of advantages. Suggestions for successful development of stock exchange trading are given in accordance with world experience and national peculiarities. Key words: commodity exchange, futures, option, stock trading, international commodity exchanges, agricultural products, market infrastructure, stock exchange.


2020 ◽  
Vol 4 (1) ◽  
pp. 77-102
Author(s):  
Abdelkader Derbali ◽  
Lamia Jamel ◽  
Monia Ben Ltaifa ◽  
Ahmed K. Elnagar ◽  
Ali Lamouchi

PurposeThis paper provides an important perspective to the predictive capacity of Fed and European Central Bank (ECB) meeting dates and production announcements for the dynamic conditional correlation (DCC) between Bitcoin and energy commodities returns and volatilities during the period from August 11, 2015 to March 31, 2018.Design/methodology/approachTo assess empirically the unanticipated component of the US and ECB monetary policy, the authors pursue the Kuttner's approach and use the federal funds futures and the ECB funds futures to assess the surprise component. The authors use the approach of DCC as introduced by Engle (2002) during the period from August 11, 2015 to March 31, 2018.FindingsThe authors’ results suggest strong significant DCCs between Bitcoin and energy commodity markets if monetary policy surprises are incorporated in variance. These results confirmed the financialization of Bitcoin and commodity energy markets. Finally, the DCC between Bitcoin and energy commodity markets appears to respond considerably more in the case of Fed surprises than ECB surprises.Originality/valueThis study is a crucial topic for policymakers and portfolio risk managers.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mouna Youssef ◽  
Khaled Mokni

PurposeThis study aims to test the presence of herding behavior in commodity markets, including energy, metals and agriculture. Additionally, the authors investigate the possible asymmetric effect of oil price changes on the herding behavior in these markets.Design/methodology/approachThe authors examine herding based on the cross-sectional absolute deviation (CSAD) model in a static and time-varying perspective.FindingsBy using daily data over the period 2003–2017, the authors’ findings firstly support the dynamic nature of investor behavior in commodity markets, which oscillates between antiherding during the normal period and herding during and after the global financial crisis of 2008. Furthermore, results highlight that the asymmetric impact of oil shocks on herding differs across commodity sectors and periods. Additionally, herding seems to be more pronounced when the oil market declines, which may be due to the pessimistic investors' sentiments.Practical implicationsThis study provides insight into what factors influence herd behavior in commodity markets. The understanding of factors driving herding aids investors to avoid the impact of this behavior and its consequencesOriginality/valueTo the authors’ knowledge, this study is the first to examine whether the level of herding depends on the oil price fluctuations, as well as the asymmetric effect of the oil price on herding behavior in commodity markets.


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