Price discovery and pairs trading potentials: the case of metals markets

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Saji Thazhugal Govindan Nair
Keyword(s):  
Price Discovery ◽  
Price Transmission ◽  
Pairs Trading ◽  
Correction Model ◽  
Content Type ◽  
Vector Error Correction ◽  
Vector Error ◽  
Arbitrage Trading ◽  
Price Discovery Process ◽  
Practical Implications

Purpose This study aims to validate the “expectancy theory” of asset pricing and explores the price discovery process in metals futures markets. Design/methodology/approach This paper adopts the Johansen cointegration and vector error correction model approach to investigate the potentials of Pairs trading in the metals market during the period 2008–2019. Findings The results find the price movements in metal markets are not random walk and the current “futures” prices are the reasonable estimate of the “spot” metal prices in future. This study does not notice any significant differences in the price efficiency across metals markets, which signal the effects of limited idiosyncratic forces in price transmission. Practical implications The research suggests the covert use of metal futures to make gains from arbitrage trading. Originality/value The study emphasizes the potential of “pair trading” in commodity market context that is seldom discussed in academic papers.

Are house prices in the Norwegian capital too high?

2015 ◽  
Vol 8 (2) ◽  
pp. 152-168 ◽  
Author(s):  
Svein Olav Krakstad ◽  
Are Oust
Keyword(s):  
House Prices ◽  
Construction Costs ◽  
Policy Makers ◽  
Correction Model ◽  
Content Type ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Practical Implications

Purpose – This paper aims to investigate whether the homes in the Norwegian capital, Oslo, are overpriced. While house prices in many countries dropped after the financial crisis, those in Norway have continued to increase. Over the past 20 years, real house prices in Oslo have increased by around 7 per cent yearly. Design/methodology/approach – The authors use a vector error correction model to estimate the equilibrium between house prices, rents, construction costs and wages to examine whether house prices in Oslo are overpriced. Findings – Long-term relationships between house prices, rents, construction costs and wages are found and used to estimate equilibrium house prices in Oslo. The overpricing in Oslo compared to estimated equilibrium prices is around 35 per cent. Practical implications – Price–rent, price–construction cost and price–income ratios are often used, by practitioners to say something about over- or underpricing in the housing market. We test and find that house prices, rents and construction costs move toward constant ratios in the long run, while wages are found to be weakly exogenous in the system. Originality/value – Our estimate of overpricing gives households, investors and policy-makers a better understanding of the risk associated with owning dwellings.

Analysis on the Effect of Price Discovery in Mini Derivatives : The Case of KOSPI200 Mini Options

2017 ◽  
Vol 25 (4) ◽  
pp. 623-656
Author(s):  
Woo–baik Lee
Keyword(s):  
Price Discovery ◽  
Investment Strategy ◽  
Vector Error Correction Model ◽  
Options Market ◽  
Information Share ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
The Empirical Analysis ◽  
Price Discovery Process

The KOSPI200 mini options market, introduced in July 2015, is a market where the trading multiplier is reduced to one-fifth of the regular options. This study shows that the price discovery effect of the original options and the mini options estimated by the vector error correction model (VECM) and Hasbrouck's information share (1995, 2003), based on the regular options-mini options arbitrage and the options-spot arbitrage. The results of the empirical analysis are summarized as follows. First, in the price discovery between the regular options and the mini options, regular options dominate mini options at a statistically significant level. Second, mini options tend to lead the spot, which is stronger than the regular options. Therefore, the regular options and the mini options show asymmetrical behavior in the price discovery process of the spot, opposite to each other and are interpreted as alternative derivatives in terms of investment strategy. Considering the immaturity of mini options market established during the sample period, the price discovery is efficient even though the trading activity in the mini options is lower than that of the regular options.

Innovation, ICT penetration, trade and economic growth in developing and developed countries: a VECM approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Parul Singh ◽  
Areej Aftab Siddiqui
Keyword(s):  
Economic Growth ◽  
Error Correction ◽  
Developing Nations ◽  
Vector Error Correction Model ◽  
Correction Model ◽  
Content Type ◽  
Vector Error Correction ◽  
Vector Error ◽  
Short Run ◽  
Developed Nations

Purpose The development in information communication and technology (ICT) has led to many changes such as reorganization of economics, globalization and trade. With more innovation processes being organized and adopted across technologies, trade, etc., these are getting more closely related and needs fresh research perspective. This study aims to empirically investigate the interrelationship between ICT penetration, innovation, trade and economic growth in 20 developed and developing nations from 1995 to 2018. Design/methodology/approach The present paper examines both long-run and short-run relationships between the four variables, namely, innovation, ICT penetration, trade and economic growth, by applying panel estimation techniques of regression and vector error correction model. ICT penetration and innovation indices are constructed using principle component analysis technique. Findings The findings of the study highlight that for developed nations, growth, trade and innovation are significantly interlinked with no significant role of ICT penetration While for developing nations, significant relationship is present between growth and trade, ICT penetration and innovation. With respect to trade, in case of developed nations, significant relationship is present with ICT penetration. While for developing nations there is no significant result for trade promotion. On further employing the vector error correction model, the presence of short run causality between growth, trade and innovation in case of developed nations is established but no such causality between variables for developing nations is seen. Originality/value The present paper adds to the existing strand of literature examining interlinkage between innovation and growth by introducing new variables of ICT penetration and innovation.

Public debt, corruption and shadow economy in Africa: an empirical analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Victor Owusu-Nantwi ◽  
Gloria Owusu-Nantwi
Keyword(s):  
Public Debt ◽  
Shadow Economy ◽  
African Countries ◽  
Correction Model ◽  
Content Type ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Short Run ◽  
Policies And Programs

PurposeThe purpose of this paper is to examine the effect of corruption and shadow economy on public debt in 51 African countries. In addition, the study explores the causal linkage between corruption, shadow economy and public debt.Design/methodology/approachThe study employs vector error correction model and Kao cointegration test to examine the long-run relationship between corruption, shadow economy and public debt in Africa.FindingsThe study finds a positive and statistically significant relationship between corruption and public debt. Further, the study reports a positive and statistically significant effect of shadow economy on public debt. In the short run, the study finds a unidirectional causal relationship between corruption, shadow economy and public debt with the direction of causality running from corruption and shadow economy to public debt, respectively.Practical implicationsThis study recommends that countries should pursue policies and programs that would provide resources to agencies tasked with the responsibility of fighting corruption. This would ensure that countries have effective institutions that curb vulnerabilities to corruption and reduce the size of the shadow economy and public debt.Originality/valueThis study contributes to the literature by showing how corruption and shadow economy affects public debts of African countries. To the best of the author's knowledge, this is the first attempt to examine this relationship in the context of Africa.

Afghanistan’s Food Security: Evidence from Pakistan and Afghanistan Wheat Price Transmission using Threshold Vector Error Correction Model (TVECM))

2021 ◽  
Vol 5 (1) ◽  
pp. 1-16
Author(s):  
Tahir Mahmood ◽  
Afaq Ali Muluk ◽  
Seema Zubair
Keyword(s):  
Food Security ◽  
Wheat Flour ◽  
Market Price ◽  
Price Transmission ◽  
Wheat Grain ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Wheat Market

Afghanistan's food security mainly depends on Pakistan's wheat prospect, circumstances, agriculture policies, and market price dynamics. This study explores the price transmission mechanism of the wheat flour and wheat grain between Pakistan and Afghanistan using monthly price pairs from January 2003 through October 2017. The paper investigates the existing knowledge of how Pakistan’s agricultural policy and wheat market affects the wheat market and food security of Afghanistan. The results confirm that the wheat flour price of Pakistan is found to be driving the price of wheat flour of Afghanistan. This implies that wheat flour price of Pakistan evolves independently, and that wheat flour price of Afghanistan balances any divergence in the long-run relationship between the two markets prices. The policy implication is to eradicate transaction costs as well as procuring timely wheat grain and flour, in order to maintain price stability between Pakistan and Afghanistan wheat markets.

scholarly journals Leading properties of GDT auctions for dairy prices

2020 ◽  
Vol 122 (7) ◽  
pp. 2303-2328
Author(s):  
Jakub Olipra
Keyword(s):  
Milk Powder ◽  
Price Transmission ◽  
Price Expectations ◽  
Content Type ◽  
Vector Error Correction ◽  
Vector Error ◽  
Setting Process ◽  
Dairy Markets ◽  
The Us ◽  
Vector Error Correction Models

PurposeProfessionals from the dairy sector commonly believe that the results of Global Dairy Trade (GDT) auctions are a good leading indicator for prices of dairy commodities. The purpose of this paper is to test that hypothesis for prices of key dairy commodities (skimmed milk powder (SMP), whole milk powder (WMP), butter and cheddar) in the main dairy markets (the US, EU and Oceania).Design/methodology/approachThe leading properties of the GDT auctions are investigated using vector error correction models (VECM).FindingsThe results show that prices at GDT auctions may be treated as a benchmark for global prices of WMP and SMP as they affect prices in all considered markets. However, in case of EU market the relationship with the GDT is bidirectional. GDT prices reveal some leading properties also in cheddar market, however price relationships in this market are much more complex. In case of butter market, GDT can be regarded as a benchmark only for Oceania.Practical implicationsThe results of this paper improve knowledge on price transmission in dairy markets, show the role of the GDT auctions in the price setting process, and thus may help professionals from the dairy sector to formulate their price expectations more precisely.Originality/valueDespite the fact that many professionals from the dairy sector treat GDT auctions as a benchmark, so far their leading properties have not been scientifically proven.

scholarly journals Seasonal Soybean Price Transmission between the U.S. and Brazil Using the Seasonal Regime-Dependent Vector Error Correction Model

2019 ◽  
Vol 11 (19) ◽  
pp. 5315
Author(s):  
Byung Min Soon ◽  
Jarrett Whistance
Keyword(s):  
Price Transmission ◽  
Seasonal Effects ◽  
Vector Error Correction Model ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
The World ◽  
Soybean Price ◽  
Dependent Vector ◽  
The U.S

Soybean production and trade in the U.S. and Brazil are seasonal. Our research question is whether the seasonal tendencies cause the price relationship between U.S. and Brazilian soybean prices. Therefore, the objective is to test for seasonality in the price transmission between the U.S. and Brazil soybean prices using the seasonal regime-dependent vector error correction model (VECM). Our results show that the speed of the adjustment for the U.S. soybean price in the first half of the year is greater than the speed of the adjustment for the Brazilian soybean price. However, the pattern of their responses becomes the reverse in the second half of the year. The component share calculated by the result of the VECM with seasonal effects indicates that the U.S. dominates the world soybean market during the second half of the year while Brazil is dominant in the soybean market in the first half of the year. These results give us an important finding that we could not find using the VECM without seasonal effects. Finally, our results imply that the seasonal pattern of production in the U.S. and Brazil could cause the sustainability of the supply chain in the world soybean market.

scholarly journals Dynamic price relationships and price discovery among cheese markets

2020 ◽  
pp. 1-13
Author(s):  
Hernan A. Tejeda ◽  
Man-Keun Kim
Keyword(s):  
Price Discovery ◽  
The United States ◽  
Relative Price ◽  
Cottage Cheese ◽  
Correction Model ◽  
Vector Error Correction ◽  
Dynamic Price ◽  
Vector Error ◽  
Price Relationship ◽  
Price Relationships

The United States (U.S.) cheese sector has been steadily growing throughout the years. Since 1980, U.S. consumers have doubled their annual consumption of cheese, currently at about 37.9 lbs. per capita in 2018 excluding cottage cheese. Cheese varieties are generally classified as American type (Cheddar, Monterey and others), Italian type (Mozzarella and others), and Other type (Swiss, Muenster and others) since they serve different markets. American cheese is consumed regularly in hamburgers, sandwiches and in similar settings. Italian cheese is typically consumed in pizzas, pasta and Italian cuisine. Despite the burgeoning growth in cheese demand, there has been no study addressing the dynamic price relationship among different varieties of cheese. This study investigates the price discovery process among cheese varieties: Cheddar, Mozzarella, Swiss, Muenster, and Monterey by using a vector error correction model and standard innovation accounting. Results indicate relative price interaction among different varieties of cheese, providing empirical evidence of some decouplment or separation among American (Cheddar and Monterey), Italian (Mozzarella), and Other type (Swiss). An exemption is Muenster which despite being classified as Other type of cheese responds to American’s Cheddar.

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