{"title":"Foreign Trade in 2016: Stabilization of Exports and Imports","authors":"A. Knobel, Alexander Firanchuk","doi":"10.2139/ssrn.2944595","DOIUrl":"https://doi.org/10.2139/ssrn.2944595","url":null,"abstract":"Generally, according to the 2016 results fuel exports dramatically fell, non-fuel exports decreased somewhat, while imports stopped falling. However, H2 2016 (as compared to the similar period of 2015) showed slightly different results. Exports virtually stopped falling, while imports even began to grow. In 2016, in the geographic pattern of trade turnover the dynamics of the previous years prevailed: the share of the EU countries and Ukraine was diminishing, while that of the Eurasian Economic Union, China and the US was growing.","PeriodicalId":292025,"journal":{"name":"Econometric Modeling: Commodity Markets eJournal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124165884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Oil Industry: Exports at Peak","authors":"Yuri Bobylev","doi":"10.2139/SSRN.2944586","DOIUrl":"https://doi.org/10.2139/SSRN.2944586","url":null,"abstract":"In 2016, Russia’s crude oil production hit an all-time peak since 1990. Under the so-called tax maneuver in force in the oil industry, refining depth went up, production and export of fuel oil moved down and export of crude oil, a highly lucrative source of state budget revenues, increased.","PeriodicalId":292025,"journal":{"name":"Econometric Modeling: Commodity Markets eJournal","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131440876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Issues Surrounding the Rice Price of Thailand from 2003 to 2013","authors":"P. Kha, V. Trinh","doi":"10.2139/SSRN.2921060","DOIUrl":"https://doi.org/10.2139/SSRN.2921060","url":null,"abstract":"Thailand is always one of the top export rice in the word. During the year 2003 to 2013, there were many issues that affected the rice price of Thailand. So that, rice production in Thailand used to have a lot differentiations in Arable Land, Rice Area, Paddy Yield, Paddy Production, Milled Production, Rice Imports, Rice Exports, etc. In this research paper, there will be some evaluation about rice productions of Thailand between 10 years from 2003 to 2013. While analyzing elasticity of rice price between Vietnam and Thailand which white rice is the main objective, the researchers find out that white rice in both countries is inelasticity product which means it is very popular and few subtitles. These comparisons will help audiences have general views about Thailand rice production during this period of time; and look at advantages and disadvantages when comparing to the neighbor country is Vietnam. Finally, with those realistic assessments, this research paper contributes another view about rice – the most important crop of Thailand.","PeriodicalId":292025,"journal":{"name":"Econometric Modeling: Commodity Markets eJournal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130222795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Futures Trading and the Excess Comovement of Commodity Prices","authors":"Y. Le Pen, B. Sévi","doi":"10.2139/ssrn.2191659","DOIUrl":"https://doi.org/10.2139/ssrn.2191659","url":null,"abstract":"We empirically reinvestigate the issue of excess comovement of commodity prices initially raised in Pindyck and Rotemberg (1990) and show that excess comovement, when it exists, can be related to hedging and speculative pressure in commodity futures markets. Excess comovement appears when commodity prices remain correlated even after adjusting for the impact of common factors. While Pindyck and Rotemberg and following contributions examine this issue using a relevant but arbitrary set of control variables, we use recent developments in large approximate factor models so that a richer information set can be considered and \"fundamentals\" are likely to be adequately modeled. We consider a set of 8 unrelated commodities along with 187 real and nominal macroeconomic variables from which 9 factors are extracted over the period 1993-2010. Our estimates provide evidence of a time-varying excess comovement which is only occasionally significant, even after controlling for heteroscedasticity. Interestingly, excess comovement is mostly significant in recent years when a large increase in the trading of commodities is observed and also in crisis periods. However, we show that this increase in trading activity alone has no explanatory power for the excess comovement. Conversely, measures of hedging and speculative pressure explain around 60% of the estimated excess comovement thereby showing the strong impact not only of the financialization process, but also the impact of behaviour of some categories of traders on the price of commodities and the fact that supply and demand variables are not the sole factors in determining equilibrium prices.","PeriodicalId":292025,"journal":{"name":"Econometric Modeling: Commodity Markets eJournal","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128615563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Are Agriculture Markets Driven by Investors’ Allocation? Evidence from the Co-Movement of Commodity Prices","authors":"Johannes Luebbers, Peter N. Posch","doi":"10.2139/ssrn.2888887","DOIUrl":"https://doi.org/10.2139/ssrn.2888887","url":null,"abstract":"We identify a common factor in agriculture commodities applying a nonstationary panel method and a structural VAR model. The factor is driven by investors’ portfolio allocation and shown to be time-dependent. Between 2008 and 2011, 10% of the variation in the co-movement of agriculture commodities can be explained with changes in financial institutions’ open interest. The impact of financial speculation coincides with the relative share of financial institutions’ open interest, not with the absolute level of financial investors’ positions.","PeriodicalId":292025,"journal":{"name":"Econometric Modeling: Commodity Markets eJournal","volume":"2017 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127559401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Pricing of ULP and Diesel in the Western Australian Retail Fuel Market","authors":"R. Heaney, Sirimon Treepongkaruna","doi":"10.2139/ssrn.2916004","DOIUrl":"https://doi.org/10.2139/ssrn.2916004","url":null,"abstract":"This is study of the determinants of ULP and diesel price level and volatility in Western Australia. It draws on Western Australian FuelWatch fuel prices and Australian Tax Office post code level data over the period from 2002 to 2012. As might be expected, crude oil price and distance to the BP Kwinana refinery are important determinants of ULP and diesel retail prices. We find that more heavily populated wealthy post code areas pay higher prices in the Perth region though this is not evident in the regional areas. There is no evidence of prices increasing in search cost or decreasing in price dispersion. Further, cross post code volatility is lower in more populous Perth region post code areas. There is some support for price asymmetry in the diesel market, though this is not apparent in the ULP market. Finally, crude oil price shocks are positively correlated with increased volatility in both the ULP and diesel markets.","PeriodicalId":292025,"journal":{"name":"Econometric Modeling: Commodity Markets eJournal","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122191931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Is the Discretionary Income Effect of Oil Price Shocks a Hoax?","authors":"C. Baumeister, Lutz Kilian, Xiaoqing Zhou","doi":"10.5547/01956574.39.SI2.CBAU","DOIUrl":"https://doi.org/10.5547/01956574.39.SI2.CBAU","url":null,"abstract":"The transmission of oil price shocks has been a question of central interest in macroeconomics since the 1970s. There has been renewed interest in this question after the large and persistent fall in the real price of oil in 2014-16. In the context of this debate, Ramey (2017) makes the striking claim that the existing literature on the transmission of oil price shocks is fundamentally confused about the question of how to quantify the effect of oil price shocks. In particular, she asserts that the discretionary income effect on private consumption, which plays a central role in contemporary accounts of the transmission of oil price shocks to the U.S. economy, makes no economic sense and has no economic foundation. Ramey suggests that the literature has too often confused the terms-of-trade effect with this discretionary income effect, and she makes the case that the effects of the oil price decline of 2014-16 on private consumption are smaller for a multitude of reasons than suggested by empirical models of the discretionary income effect. We review the main arguments in Ramey (2017) and show that none of her claims hold up to scrutiny.","PeriodicalId":292025,"journal":{"name":"Econometric Modeling: Commodity Markets eJournal","volume":"28 2-3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131676380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abdelbari El Khamlichi, T. Hoang, W. Wong, Zhenzhen Zhu
{"title":"Is Gold Different for Islamic and Conventional Portfolios? A Sectorial Analysis","authors":"Abdelbari El Khamlichi, T. Hoang, W. Wong, Zhenzhen Zhu","doi":"10.2139/ssrn.2915159","DOIUrl":"https://doi.org/10.2139/ssrn.2915159","url":null,"abstract":"This article investigates the impact of gold in portfolios in distinguishing between Islamic and conventional stocks as well as between risk-averse and risk-seeking investors, while considering sectorial specificities. Using daily data from the Dow Jones indexes and the London gold market over the 2002-2014 period, the results obtained show that the stochastic dominance method is more robust than the mean-risk method to detect the difference between Islamic and conventional portfolios. For most sectors, risk-averters prefer conventional portfolios, while risk-seekers prefer Islamic portfolios. On the other hand, risk-averters prefer portfolios with gold, while risk-seekers prefer portfolios without gold. A robustness check on different sub-periods shows that these results are time-varying following the behavior of gold prices. These findings can provide useful information to investors respecting Sharia and looking for a diversification with commodities such as gold.","PeriodicalId":292025,"journal":{"name":"Econometric Modeling: Commodity Markets eJournal","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125895507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Modeling Energy Spreads with a Generalized Novel Mean-Reverting Stochastic Process","authors":"Mir Hashem Avonleghi, M. Davison","doi":"10.21314/JEM.2017.154","DOIUrl":"https://doi.org/10.21314/JEM.2017.154","url":null,"abstract":"The spread between two related energy prices is a very important quantity throughout energy finance. Of particular interest are spreads between different energy types, different delivery points (location spreads) and different delivery times (calendar spreads). Each underlying price process may be modeled directly. At times, however, it is a useful simplification to consider the spread as a distinct process, which may itself be directly modeled. For this purpose, we investigate the continuous limit of a mean-reverting random walk and its extensions. Analytical results about the solution of this process, including its stationary distribution, are obtained. This new mean-reverting process is compared with the Vasicek process, and its advantages are discussed. We show that this new model for spread dynamics is capable of capturing kurtosis. It can also capture the possible skewness in the transition density of the price spread process. Since the analytical transition density is unknown for this nonlinear stochastic process, the local linearization method is deployed to estimate the model parameters. We apply this method to empirical data for modeling the spread between West Texas Intermediate (WTI) crude oil and West Texas Sour (WTS) crude oil.","PeriodicalId":292025,"journal":{"name":"Econometric Modeling: Commodity Markets eJournal","volume":"259 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122288254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"How Information Is Transmitted Across the Nations? An Empirical Investigation of the US and Chinese Commodity Markets","authors":"Zi‐Yi Guo","doi":"10.2139/ssrn.3013797","DOIUrl":"https://doi.org/10.2139/ssrn.3013797","url":null,"abstract":"This paper studies how information is transmitted across nations by focusing on three types of commodities: copper, soybean and wheat. The paper utilizes Johansen cointegration model, vector error correction model (VECM) and the generalized autoregressive conditional heteroskedastic model (GARCH) to investigate the price discovery and volatility spillover process of informationally-linked futures markets. The empirical results indicate that the models provide evidence to support the long-term equilibrium relationships and significant bidirectional information flows between copper futures markets in China and in the United States. Although innovations in one market can predict the futures volatility in another market, the volatility spillovers from U.S. futures to Chinese futures are more significant than the other way around. As for the soybean futures, there is a one-lag price transmission across markets, while no volatility spillover has been detected. As for the wheat futures, no information transmission is found across markets.","PeriodicalId":292025,"journal":{"name":"Econometric Modeling: Commodity Markets eJournal","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129583206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}