Relationship between Coffee Prices in Spot and Futures Markets-An Empirical Analysis

2020 ◽  
pp. 180-188
Keyword(s):  
New York ◽  
Correlation Coefficients ◽  
Strong Relationship ◽  
Futures Market ◽  
Regression Coefficients ◽  
Futures Prices ◽  
Market Prices ◽  
Spot Prices ◽  
Correlation And Regression Analysis ◽  
Highly Correlated

The present study explored the relationship between spot and futures coffee prices. The Correlation and Regression analysis were carried out based on monthly observations of International Coffee Organization (ICO) indicator prices of the four groups (Colombian Milds, Other Milds, Brazilian Naturals, and Robustas) representing Spot markets and the averages of 2nd and 3rd positions of the Intercontinental Exchange (ICE) New York for Arabica and ICE Europe for Robusta representing the Futures market for the period 1990 to 2019. The study also used the monthly average prices paid to coffee growers in India from 1990 to 2019. The estimated correlation coefficients indicated both the Futures prices and Spot prices of coffee are highly correlated. Further, estimated regression coefficients revealed a very strong relationship between Futures prices and Spot prices for all four ICO group indicator prices. Hence, the ICE New York (Arabica) and ICE Europe (Robusta) coffee futures prices are very closely related to Spot prices. The estimated regression coefficients between Futures prices and the price paid to coffee growers in India confirmed the positive relationship, but the dispersion of more prices over the trend line indicates a lesser degree of correlation between the price paid to growers at India and Futures market prices during the study period.

The Unbiasedness and Hedging Effectiveness in KOSPI200 Futures Market

2007 ◽  
Vol 15 (1) ◽  
pp. 73-100
Author(s):  
Seok Kyu Kang
Keyword(s):  
Risk Management ◽  
Risk Premium ◽  
Futures Market ◽  
Spot Price ◽  
Sample Period ◽  
Futures Prices ◽  
Spot Prices ◽  
Hedging Effectiveness ◽  
Futures Price ◽  
Rolling Windows

This study is to examine the unblasedness hypothesis and hedging effectiveness in KOSPI20() futures market. The unbiasedness and efficiency hypothesis is carried out using a cointegration methodology. And hedging effectiveness is measured by comparing hedging performance of the naive hedge model, OLS hedge model. and constant correlation bivariate GARCH (1. 1) hedge model based on rolling windows. The sample period covers from May. 3. 1996 to December. 8, 2005. The empirical results are summarized as follows: First, there exists the cOintegrating relationship between realized spot prices and futures prices of the 10 day. 22 day. 44 day. and 59 day prior to maturity. Second. futures prices of backward the 10 day. 22 day. 44 day from maturity provide unbiased forecasts of the realized spot prices. The KOSPI200 futures price is likely to predict accurately future KOSPI200 spot prices without the trader having to pay a risk premium for the privilege of trading the contract. Third. for shorter maturity. the futures price appears to be the best forecaster of spot price. Forth, bivariate GARCH hedging effectiveness outperforms the naive and OLS hedging effectiveness. The implications of these findings show that KOSPI200 futures market behaves as unbiased predictor of future spot price and risk management instrument of KOSPI200 spot portfolio.

A tale of two coffees? Analysing interaction and futures market efficiency

2020 ◽  
Vol 37 (1) ◽  
pp. 89-109
Author(s):  
Mark J. Holmes ◽  
Jesús Otero
Keyword(s):  
Market Efficiency ◽  
Unit Root ◽  
Futures Market ◽  
Recursive Estimation ◽  
Futures Contracts ◽  
Futures Prices ◽  
Content Type ◽  
Spot Prices ◽  
Unit Root Testing ◽  
Price Differentials

Purpose The purpose of this paper is to assess the informational efficiency of Arabica (other milds) and Robusta coffee futures markets in terms of predicting future coffee spot prices. Design/methodology/approach Futures market efficiency is associated with the existence of a long-run equilibrium relationship between spot and future prices such that coffee futures prices are unbiased predictors of future spot prices. This study applies unit root testing to daily data for futures-spot price differentials. A range of maturities for futures contracts are considered, and the study also uses a recursive approach to consider time variation in futures market efficiency. Findings The other milds and Robusta futures prices tend to be unbiased predictors for their own respective spot prices. The paper further finds that other milds and Robusta futures prices are unbiased predictors of the respective Robusta and other milds spot prices. Recursive estimation suggests that the futures market efficiency associated with these cross cases has increased, though with no clear link to the implementation of the 2007 International Coffee Agreement. Originality/value The paper draws new insights into futures market efficiency by examining the two key types of coffee and analyses the potential interactions between them. Hitherto, no attention has been paid to futures contracts of the Robusta variety. The employment of unit root testing of spot futures coffee price differentials can be viewed as more stringent than an approach based on non-cointegration testing.

Do Changes in Natural Gas Futures Prices Influence Changes in Natural Gas Spot Prices?

1993 ◽  
Vol 11 (5) ◽  
pp. 467-472 ◽  
Author(s):  
John H. Herbert
Keyword(s):  
Natural Gas ◽  
Futures Markets ◽  
Spot Market ◽  
Spot Markets ◽  
Futures Prices ◽  
Market Prices ◽  
Spot Prices ◽  
Futures Contract

Data on natural gas futures and spot markets are examined to determine if variability in price on futures markets influences variability in price on spot markets. Using econometric techniques, it is found that changes in futures contract prices do not precede changes in spot market prices.

scholarly journals Short-Period Pricing Models for Fed Cattle and Impacts of Wholesale Carcass Beef and Live Cattle Futures Market Prices

1981 ◽  
Vol 13 (1) ◽  
pp. 125-132 ◽  
Author(s):  
Clement E. Ward
Keyword(s):  
Task Force ◽  
Futures Market ◽  
National Commission ◽  
Pricing Models ◽  
Market Prices ◽  
Trade Associations ◽  
Spot Prices ◽  
Transaction Prices ◽  
Short Period ◽  
General Accounting Office

Cattlemen have expressed concern about wholesale beef and fed cattle pricing and have antitrust lawsuits pending against supermarkets, meatpackers, trade associations, and a meat price reporting firm. Lawsuits allege manipulation of wholesale carcass beef prices to artificially depress spot prices for fed cattle (General Accounting Office, 1977). Congressional and administrative investigations have focused on wholesale carcass beef pricing and price reporting and their effects on fed cattle pricing (Committee on Small Business, General Accounting Office, 1978; National Commission on Food Marketing; Packers and Stockyards Program, 1978). Cattlemen also have expressed dissatisfaction with live cattle futures markets before congressional and administrative committees, alleging that futures market prices adversely affect spot prices for fed cattle (Leuthold and Tomek; Meat Pricing Task Force). However, economists have not empirically studied the impacts of wholesale carcass beef and live cattle futures market prices in short-period pricing models for fed cattle, that is, impacts on individual transaction prices.

scholarly journals The interdependence of coffee futures and spot markets - An econometric analysis

2021 ◽  
pp. 56-66
Author(s):  
B.N. Pradeepa Babu ◽  
Arun Muniyappa
Keyword(s):  
New York ◽  
Futures Markets ◽  
Spot Markets ◽  
Futures Prices ◽  
Spot Prices ◽  
Robusta Coffee ◽  
Indian Context ◽  
Long Run ◽  
Short Run ◽  
Producer Prices

Coffee is an export-oriented commodity for producing countries, and it is actively traded at international commodity exchange platforms viz., Intercontinental Exchange (ICE), New York and ICE, Europe. This study examines the interdependence of futures and spot markets for coffee in the price discovery mechanism, particularly in the Indian context. The study has considered both the International Coffee Organization (ICO) indicator prices and producers’ prices in India’s spot prices. The study confirms the existence of a stable long-run relationship between ICE coffee futures and ICO spot prices, implying that both prices react to the same set of market information. While there is an indication of equilibrium or long-run relationship between ICE Coffee futures (New York) and Arabica producer prices (at farm gate level) in India, the same was not true for Robusta coffee. The absence of co-integration between ICE futures prices (London) and Robusta producer prices in India suggested only a short-run relationship between them. The findings of the study conclude with strong evidence that the farm gate prices in India have been caused by the ICE futures markets, declining the contrary.

WEATHER SHOCKS AND AGRICULTURAL COMMODITY PRICES IN INDIA

2013 ◽  
Vol 04 (03) ◽  
pp. 1350011
Author(s):  
N. R. BHANUMURTHY ◽  
PAMI DUA ◽  
LOKENDRA KUMAWAT
Keyword(s):  
Structural Change ◽  
Futures Markets ◽  
Commodity Prices ◽  
Futures Market ◽  
Commodity Futures ◽  
Price Formation ◽  
Futures Prices ◽  
Agricultural Commodity ◽  
Spot Prices ◽  
Weather Shocks

We analyze the impact of weather shocks on price formation in spot and futures market for food in India where until the recent introduction of commodity futures markets in 2005, the transmission of these shocks to short-term (spot) price movements was unclear. Hitherto, the price discovery mechanism was weak and end price was expected to be different (mostly higher unless some product prices were administered) from the market-clearing price. In addition, this weak mechanism was expected to result in higher price volatility. The introduction of a futures market is expected to reduce risk, a major component in agricultural production as well as in price formation. Though the commodity futures market in India is nascent, we model transmission of weather shocks to futures and spot prices using monthly data. Based on cointegration analysis, our results suggest strong long-run co-movement between futures prices and spot prices for commodities traded in futures markets. Changes in rainfall affect both futures and spot prices with different lags. However, rainfall shocks generate larger responses from futures prices than from spot prices. Although there could be other factors that affect futures prices, after controlling for fuel prices, our results clearly show the transmission mechanism of weather shocks from futures to spot prices. We also explore the changes in responsiveness of prices of major agricultural commodities to rainfall with introduction of futures contracts to facilitate the pass-through of various types of shocks to agricultural commodity prices. Using smooth transition regression, we find that the bivariate relationships between rainfall and prices of rice, wheat and pulses show some nonlinearity with the structural change happening after the introduction of futures market. These relations are found to be much stronger in the post-structural change period that broadly coincides with the introduction of futures market.

scholarly journals Effects of Meat Recalls on Futures Market Prices

2002 ◽  
Vol 31 (1) ◽  
pp. 47-58 ◽  
Author(s):  
Jayson L. Lusk ◽  
Ted C. Schroeder
Keyword(s):  
Negative Impact ◽  
Extended Period ◽  
Futures Market ◽  
Systematic Change ◽  
Futures Prices ◽  
Short Term ◽  
Market Prices ◽  
Health Concerns ◽  
The Impact

The number of meat recalls has increased markedly in recent years. This research examines the impact of beef and pork recall announcements on nearby daily live cattle and lean hog futures market prices, respectively. Results indicate medium-sized beef recalls that are of serious health concerns have a marginally negative impact on short-term live cattle futures prices. However, results are not robust across recall size and severity. This research suggests that if there is any systematic change in cattle and hog demand due to meat recalls, it likely occurs over an extended period of time and only in certain cases does it noticeably affect daily futures prices.

scholarly journals A Study of the Economic Functions of the Maine Potato Futures Market

1980 ◽  
Vol 9 (1) ◽  
pp. 51-61
Author(s):  
Jeff Sooy ◽  
Ben Branch
Keyword(s):  
Futures Markets ◽  
Futures Market ◽  
Extensive Study ◽  
Convincing Evidence ◽  
Recent Time ◽  
The Other ◽  
Futures Prices ◽  
Spot Prices ◽  
Time Period ◽  
Maine Potato

In an update and extension of prior work this study found that the potato futures markets continued to provide very unreliable forecasts of subsequent spot prices. On the other hand and contrary to some past studies an extensive study here failed to turn up any convincing evidence of a cobweb pricing relationship. Moreover the increasing volatility of potato futures prices in the more recent time period raises questions regarding their value as hedging vehicles. Finally it is argued that the market's efficiency might be improved by expanding the current Maine potato contract to permit delivery of round white potatoes grown outside Maine.

scholarly journals Forecasting Performance Of Natural Gas Futures Market: An Assessment Of Recent Data

2011 ◽  
Vol 4 (11) ◽  
Author(s):  
Salah Abosedra ◽  
Khaled Elkhal ◽  
Faisal Al-Khateeb
Keyword(s):  
Natural Gas ◽  
Futures Market ◽  
Policy Implications ◽  
Energy Market ◽  
Futures Prices ◽  
Font Size ◽  
Spot Prices ◽  
Forecasting Performance ◽  
Futures Price ◽  
The U.S

<p class="MsoNormal" style="text-align: justify; margin: 0in 34.2pt 0pt 1in;"><span style="font-size: 10pt;"><span style="font-family: Times New Roman;">Natural gas has assumed increasing importance in the global energy market. This study evaluates the forecasting performance of futures prices of natural gas in the large market of the U.S. at various time horizons. The results indicate that futures prices are unbiased predictors at the 1-, 6-, and 12- month horizons, but not at the 3- and 9- month horizons. The results further suggest that futures prices of natural gas, although biased at some intervals, significantly outperform na&iuml;ve forecasts in predicting future movements of spot prices. In addition, the information content of the 1-month ahead futures price proves especially useful as a forecasting device. Policy implications are also discussed.<span style="mso-bidi-font-style: italic; mso-bidi-font-weight: bold;"></span></span></span></p>

scholarly journals Relationship Between Spot Prices and Futures Prices: Evidence From Karachi Stock Exchange

2021 ◽  
Vol 5 (2) ◽  
pp. 109-123
Author(s):  
Muhammad Asif Ali ◽  
Muhammad Asif Ali ◽  
Dr. Naveed Hussain Shah
Keyword(s):  
Granger Causality ◽  
Stock Exchange ◽  
Granger Causality Test ◽  
Spot Market ◽  
Futures Market ◽  
Futures Prices ◽  
Causality Test ◽  
Spot Prices ◽  
Unit Root Testing ◽  
Integration Test

This study investigates the relationship between futures prices and their underlying spot prices of the stocks trading on Pakistan stock market. Data on the monthly closing prices of future contracts and their underlying stocks of 30 companies for the period January 2004 to June 2014 have been taken for analysis. Descriptive statistics, Augmented Dicky Fuller test for unit root testing, Johnson Co-integration test, Granger causality test and Vector Error Correction Model are used. The results confirms significant long term relationship between futures prices and the associated Spot prices in case of 26 companies. The report of Granger causality test indicates that a Bi-directional causality lack to exist in case of each security, VECM shows that Spot prices for current month are effected by previous month prices in case of 7 companies, while futures prices of current month are affected by previous month prices in case of 4 companies. VECM illustrates that the volatility shocks in spot market are less effected by futures market, however the volatility shocks in corresponding futures market were strongly and significantly affected by spot market volatility.

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