A Comparative Analysis of Informational Efficiency of KOSDAQ50 and KOSPI200 Index Futures

2003 ◽  
Vol 11 (2) ◽  
pp. 27-49
Author(s):  
Bae Gi Hong ◽  
Su Jae Jang
Keyword(s):  
Futures Markets ◽  
Market Price ◽  
Futures Market ◽  
Spot Price ◽  
Informational Efficiency ◽  
Information Efficiency ◽  
Index Futures ◽  
Volume Relationship ◽  
Futures Price ◽  
Volume Relation

This paper examines the information efficiency of KOSDAQ50 and KOSPI200 index futures markets. The study analyzes and compares both markets in three respects : 1) price discovery (lead-lag relationship between spot and futures markets.), 2) volatility-volume relationship, and 3) mispricings between spot and futures prices. The first, analysis shows the in the KOSPI200 market, futures price leads spot price. While spot price leads futures price in the KOSDAQ50 market. The second analysis shows that the volatility-volume relation is positive in the KOSPI200 futures market, supporting the hypothesis of mixture of distribution. In contrast, there is little relation between volume and volatility in the KOSDAQ50 futures market. This result casts doubt that the futures market price reflects information. The last analysis shows that the magnitude of mispricing becomes smaller with more volume in the KOSPI200 futures market, while it becomes larger with more volume in the KOSDAQ50 futures market. The overall results imply that the KOSDAQ50 futures market is less informationally efficient that the KOSPI200 market. The inefficiency appears due to the lack of institutional investor participation, especially securities firms, in making up the market.

scholarly journals Mean-Variance Analysis of Alternative Hedging Strategies

1972 ◽  
Vol 4 (1) ◽  
pp. 123-128 ◽  
Author(s):  
David Holland ◽  
Wayne D. Purcell ◽  
Terry Hague
Keyword(s):  
Futures Markets ◽  
Market Price ◽  
Theoretical Models ◽  
Spot Price ◽  
Hedging Strategies ◽  
Optimum Position ◽  
Futures Price ◽  
The Difference ◽  
Mean Variance ◽  
Over Time

Much of the research in commodity hedging has concentrated upon the development of theoretical models describing the optimum position in cash and futures markets. Other studies have shown that the difference between current spot price and futures price represents the market price for storage, processing services, or both. The revenue stabilizing potential of futures markets for commodities with continuous as opposed to noncontinuous inventories has also received attention. However, very little work or literature is publicly available on how different hedging strategies actually would have performed for a particular commodity over time.

Crop price insurance in China: pricing and hedging using futures market

2017 ◽  
Vol 9 (4) ◽  
pp. 567-587 ◽  
Author(s):  
Minghua Ye ◽  
Rongming Wang ◽  
Guozhu Tuo ◽  
Tongjiang Wang
Keyword(s):  
Market Price ◽  
Futures Market ◽  
Insurance Premium ◽  
Spot Price ◽  
Agricultural Commodity ◽  
Content Type ◽  
Price Series ◽  
Insurance Firms ◽  
Price Insurance ◽  
S Model

Purpose The purpose of this paper is to demonstrate how crop price insurance premium can be calculated using an option pricing model and how insurers can transfer underwriting risks in the futures market. Design/methodology/approach Based on data from spot and futures market in China, this paper develops an improved B-S model for the calculation of crop price insurance premium and tests the possibility of hedging underwriting risks by insurance firms in the futures market. Findings The authors find that spot price of crops in China can be estimated with agricultural commodity futures prices, and can be taken as the insured price for crop price insurance. The authors also find that improved B-S model yields better estimation of crop price insurance premium than traditional B-S model when spot price does not follow geometric Brownian motion. Finally, the authors find that hedging can be one good alternative for insurance firms to manage underwriting risks. Originality/value This paper develops an improved B-S model that is data-driven in nature. Insured price of the crop price insurance, or the exercise price used in the B-S model, is estimated from a co-integration model built on spot and futures market price series. Meanwhile, distributional patterns of spot price series, one important factor determining the applicability of B-S model, is factored into the improved B-S model so that the latter is more robust and friendly to data with varied distributions. This paper also verifies the possibility of hedging of underwriting risks by insurance firms in the futures market.

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.

scholarly journals The Impact of Futures Price Volatility to Spot Market : Case of Coffee in Indonesia

2019 ◽  
Vol 15 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Anis Erma Wulandari ◽  
Harianto Harianto ◽  
Bustanul Arifin ◽  
Heny K Suwarsinah
Keyword(s):  
Exchange Rate ◽  
Price Volatility ◽  
Spot Market ◽  
Futures Market ◽  
Spot Price ◽  
Price Risk ◽  
Price Inflation ◽  
Spot Prices ◽  
Futures Price ◽  
The Impact

Indonesia is the world 4th largest coffee producer after Brazil, Vietnam and Colombia with export potential and higher national consumption concluded in 2017 while the coffee production was relatively stagnant. This was led the producer to not only the production risk but also the price risk which then emphasize the importance of futures markets existence as price risk management. This study is performed to examine the impact of futures price volatility to spot market using ARCH-GARCH toward primary data of coffee futures and spot prices of 1172 trading days starting from January 2014 to June 2018. The ARCH-GARCH analysis result indicates that futures price volatility and monetary variables are impacting the volatility of spot price. Arabica spot price volatility is impacted by volatility of Arabica futures price, inflation and exchange rate while Robusta spot price is impacted by Robusta futures price volatility and exchange rate. This is confirming that futures market plays dominant role in spot price discovery. Local futures and spot prices are also found to be significantly influenced by volatility of offshore futures prices which indicates that emerging country futures market is actually influenced by offshore futures market which the price itself used as price reference.

The Natural Gas Futures Markets - is it Still Inefficient?

1994 ◽  
Vol 12 (5) ◽  
pp. 369-380 ◽  
Author(s):  
John H. Herbert
Keyword(s):  
Natural Gas ◽  
Futures Markets ◽  
Price Discovery ◽  
Futures Market ◽  
Informational Efficiency ◽  
Natural Gas Market ◽  
Price Series ◽  
Gas Market

The natural gas futures market is fundamental to the current natural gas market both as means of price discovery and for price hedging. Thus, the informational efficiency of the futures market is an important issue. In this article we re-examine the informational efficiency of the natural gas futures market. In this re-examination several cash price series are considered. It is found that the natural gas futures market is informationally efficient for only one of the cash markets. The characteristics of the current natural gas market that might explain the estimated results are also discussed.

scholarly journals Futures Price and Trading Volume: Evidence From Malaysia

2020 ◽  
Author(s):  
Bakri Abdul Karim ◽  
Zulkefly Abdul Karim
Keyword(s):  
Trading Volume ◽  
Stock Index ◽  
Spot Price ◽  
Stock Index Futures ◽  
Index Futures ◽  
Spot Prices ◽  
Long Run ◽  
Causality Tests ◽  
Short Run ◽  
Futures Price

This paper examines the long- and short-run dynamic causality between the futures price and trading volume in the Malaysian equity market. The data of futures price, trading volume and spot price are in daily frequency, spanning from 2006 to 2009. By using ARDL cointegration and VECM causality tests, the findings revealed the existence of long-run relationship between futures price, volume and spot prices. In addition, there exists a short-run bidirectional causality relationship running between futures return-trading volume and futures return-spot return. Thus, the stock index futures market in Malaysia is not informational efficient.  

A Study on the Efficiency in Korea Foreign Exchange Market

2006 ◽  
Vol 14 (2) ◽  
pp. 79-108
Author(s):  
Seok Kyu Kang
Keyword(s):  
New York ◽  
Foreign Exchange ◽  
Foreign Exchange Market ◽  
Futures Market ◽  
Spot Price ◽  
Exchange Market ◽  
Dollar Spot ◽  
Currency Futures ◽  
Futures Price ◽  
Information Spillover

This study is to examine the three theme of the eπiciency of Korea foreign exchange market including the unbiasedness testing, the relative efficiency estimates, and the information spillover efficiency. Data using the analysis 81’e won-dollar spot and futures in domestic and won-dollar forward in offshore. i.e.. New York and Singapore NDF (non-delivery forward). The empirical results are summarized as follows: First. the efficient market or unbiasedness expectations hypothesis is not rejected in the won-dollar currency futures market apart from offshore New York and Singapore NDF markets. This indicates that the won-dollar futures price is likely to be an accurate indicator of future won-dollar spot prices without the trader having to pay a risk premium for the privilege of trading the contract. Second. the findings suggest the domestic won-dollar futures market is 13.58% efficient. the Singapore offshore won-dollar NDF market is 11.38% efficient. and the New York offshore won-dollar NDF market is 2.68% efficient. This indicates that the domestic won-dollar futures market is more efficient than the offshore won-dollar NDF market. It is therefore possible to conclude that the domestic currency futures price is a relatively successful predictor of the future spot price. Third. the findings suggest the information spillover exists between domestic won-dollar spot/futures market and offshore won-dollar New York NDF market in both direction. This indicates that the two markets are efficiently linked.

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