Contemporary and long-run correlations: A covariance component model and studies on the S&P 500 cash and futures markets

1999 ◽  
Vol 19 (8) ◽  
pp. 877-894 ◽  
Author(s):  
Gary G. J. Lee
Keyword(s):  
Futures Markets ◽  
Component Model ◽  
Long Run ◽  
Covariance Component

Estimating and Forecasting the Term Structure of Korea Markets Using the Nelson-Siegel Model

2004 ◽  
Vol 12 (2) ◽  
pp. 101-126
Author(s):  
Joon Haeng Lee
Keyword(s):  
Term Structure ◽  
Yield Curve ◽  
Principal Component ◽  
Component Model ◽  
Structure Model ◽  
Sample Period ◽  
Term Structure Model ◽  
Long Run ◽  
Out Of Sample ◽  
Principal Component Model

This paper estimates and forecasts yield curve of korea bond market using a three factor term structure model based on the Nelson-Siegel model. The Nelson-Siegel model is in-terpreted as a model of level, slope and curvature and has the flexibility required to match the changing shape of the yield curve. To estimate this model, we use the two-step estima-tion procedure as in Diebold and Li. Estimation results show our model is Quite flexible and gives a very good fit to data. To see the forecasting ability of our model, we compare the RMSEs (root mean square error) of our model to random walk (RW) model and principal component model for out-of sample period as well as in-sample period. we find that our model has better forecasting performances over principal component model but shows slight edge over RW model especially for long run forecasting period. Considering that it is difficult for any model to show better forecasting ability over the RW model in out-of-sample period, results suggest that our model is useful for practitioners to forecast yields curve dynamics.

Price Discoveries and Volatility Spillovers in S&P CNX Nifty Future and its Underlying Index CNX Nifty

2009 ◽  
Vol 34 (2) ◽  
pp. 41-56 ◽  
Author(s):  
Madhusudan Karmakar
Keyword(s):  
Futures Markets ◽  
Price Discovery ◽  
Spot Market ◽  
The Other ◽  
Future Market ◽  
Volatility Spillovers ◽  
Long Run ◽  
Cash Market ◽  
Cointegration Tests ◽  
First Moment

In a perfectly functioning world, every piece of information should be reflected simultaneously in the underlying spot market and its futures markets. However, in reality, information can be disseminated in one market first and then transmitted to other markets due to market imperfections. And, if one market reacts faster to information than the other, a lead-lag relation is observed The lead-lag relationship in returns and volatilities between spot and futures markets is of interest to academics, practitioners, and regulators. In India, there are very few studies which have investigated the lead-lag relationship in the first moment of the spot and futures markets This study investigates the lead-lag relationship in the first moment as well as the second moment between the S&P CNX Nifty and the Nifty future. It also investigates how much of the volatility in one market can be explained by volatility innovations in the other market and how fast these movements transfer between these markets. It conducts Multivariate Cointegration tests on the long-run relation between these two markets. It investigates the daily price discovery process by exploring the common stochastic trend between the S&P CNX Nifty and the Nifty future based on vector error correction model (VECM). It examines the volatility spillover mechanism with a bivariate BEKK model. Finally, this study captures the effects of recent policy changes in the Indian stock market. The results reveal the following: The VECM results show that the Nifty futures dominate the cash market in price discovery. The bivariate BEKK model shows that although the persistent volatility spills over from one market to another market bi-directionally, past innovations originating in future market have the unidirectional significant effect on the present volatility of the spot market. The findings of the study thus suggest that the Nifty future is more informationally efficient than the underlying spot market. These findings may provide insights on the information transaction and index arbitrage between the CNX Nifty and futures markets.

PRICE LINKAGES AMONG EMERGING GOLD FUTURES MARKETS

2018 ◽  
Vol 63 (05) ◽  
pp. 1345-1365 ◽  
Author(s):  
HASAN F. BAKLACI ◽  
ÖMÜR SÜER ◽  
TEZER YELKENCİ
Keyword(s):  
Emerging Markets ◽  
Futures Markets ◽  
Risk Diversification ◽  
Long Run ◽  
Gold Futures

The gold futures in emerging markets have gained more importance in parallel to the increase in the size of gold trading in these markets. This research aims to detect the long-run price linkages and causality effects in these markets. China, Brazil, Russia, India, Korea, Taiwan, Turkey and Indonesia have been selected to represent emerging markets. US and Japan are also included as benchmark markets. The results denote the existence of long-term price dependencies and limited risk diversification benefits in the sample countries. The results further signify that China and Russia are the most isolated countries among the emerging markets sample.

Market efficiency in Indian soybean futures markets

2014 ◽  
Vol 9 (4) ◽  
pp. 520-534 ◽  
Author(s):  
Thiagu Ranganathan ◽  
Usha Ananthakumar
Keyword(s):  
Market Efficiency ◽  
Risk Premium ◽  
Futures Markets ◽  
Structural Breaks ◽  
Time Varying ◽  
Content Type ◽  
Futures Contract ◽  
Long Run ◽  
Short Run ◽  
Commodity Derivatives

Purpose – The National commodity exchanges were established in India in the year 2003-2004 to perform the functions of price discovery and price risk management in the economy. The derivatives market can perform these functions properly only if they are efficient and unbiased. So, there is a need to properly evaluate these aspects of the Indian commodity derivatives market. The purpose of this paper is to test the market efficiency and unbiasedness of the Indian soybean futures markets. Design/methodology/approach – The paper uses cointegration and a QARCH-M-ECM-based framework to test the market efficiency and unbiasedness in the soybean futures contract traded in the National Commodity Derivatives Exchange (NCDEX). The cointegration test is used to test the long-run unbiasedness and market efficiency of the contract, while the QARCH-M-ECM model is used to test the short-run market efficiency and unbiasedness of the contract by allowing for a time-varying risk premium. The price data is also tested for presence of structural breaks using a Zivot and Andrews unit root test. Findings – The soybean contract is unbiased in the long run, but there are short-run market inefficiencies and also a presence of a time-varying risk premium. Though the weak form of market efficiency is rejected in the short run, the semi-strong market efficiency is not rejected based on the forecasts. Originality/value – This is the first paper to consider time-varying risk premium while performing the tests of market efficiency and unbiasedness on Indian commodity markets.

Co-integration and Causality between the Spot and Futures Markets: Pre and Post Implementation of NKEAs

2016 ◽  
Vol 2 (1) ◽  
pp. 98
Author(s):  
Mohamad Azwan Md Isa ◽  
Syamsyul Samsudin ◽  
Mohd Khairul Ariff Noh
Keyword(s):  
Palm Oil ◽  
Trading Volume ◽  
Futures Markets ◽  
Economic Transformation ◽  
The Other ◽  
Long Run ◽  
Empirical Tests ◽  
The Relationship ◽  
Test Result ◽  
Granger Test

The Tenth Malaysian Plan (RMK10) through the Economic Transformation Programme (ETP) focuses on 12 National Key Economic Areas (NKEAs). One of the key areas is the palm oil industry. Hence, this study is aimed at examining the implication of the ETP/NKEAs (pre and post) towards the crude palm oil (CPO) and its futures (FCPO) markets. The Johansen approach and the Granger test were employed to prove the co-integration and causality respectively between both markets for the period January 2008 to May 2015. Other empirical tests including the correlation analysis and multiple regressions were also conducted in order to investigate the relationship between the CPO price with the FCPO price, trading volume and open interest. The findings from the Johansen test show that there exists a co-integration in the long run between the Malaysian CPO and FCPO markets. The Granger test result indicates that there is causality of FCPO prices on the CPO prices, but not the other way around. In addition, the Regression analysis shows that FCPO price is the only significant factor that affects CPO price whilst the other two independent variables show insignificant results. The findings would be useful to the market regulators, operators and traders in setting their policy and regulations, and also in their decision making process

Measuring volatility spillovers and asymmetric responses of Agri commodity prices: evidence from spices and rubber futures in India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Saji Thazhugal Govindan Nair
Keyword(s):  
Futures Markets ◽  
Commodity Prices ◽  
Futures Contracts ◽  
Spot Markets ◽  
Content Type ◽  
Volatility Spillovers ◽  
Price Series ◽  
Long Run ◽  
Short Run ◽  
Asymmetric Responses

Purpose This paper aims to investigate price responses and volatility spillovers between commodity spot and futures markets. The study ultimately seeks the evidence-based claims on the efficiency of the long run and short run horizontal price transmissions from futures markets to spot markets. Design/methodology/approach This study used the most recent daily price series of pepper, cardamom and rubber, during the period 2004–2019, use “cointegration-ECM-GARCH framework” and verify the persisting validity of the “expectancy theory” of commodity futures pricing. Findings The results offer overwhelming evidence of futures market dominance in the price discoveries and volatility spillovers in spot markets. However, this paper finds asymmetric responses between cash and futures prices across markets. The hedging efficiency of futures contracts is commodities specific’ where spices futures are more efficient than the rubber futures. Practical implications The study passes on vital information to the producers and traders of spices and rubber who have a potential interest in the use of futures contracts to make profits from arbitrage between futures and cash markets. Originality/value The paper is unique in terms of understanding asymmetric price linkages in markets for plantation crops.

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.

Price Discovery in Wheat Futures Markets

1999 ◽  
Vol 31 (2) ◽  
pp. 359-370 ◽  
Author(s):  
Jian Yang ◽  
David J. Leatham
Keyword(s):  
Kansas City ◽  
Futures Markets ◽  
Price Discovery ◽  
Equilibrium Price ◽  
Long Run ◽  
Chicago Board Of Trade

AbstractThis paper examines the price discovery function for three U.S. wheat futures markets: the Chicago Board of Trade, Kansas City Board of Trade, and Minneapolis Grain Exchange. The maintained hypothesis is that futures markets search more for information than cash markets to find an equilibrium price, thus greatly improving the price discovery function. The tests reveal the existence of one equilibrium price across the three futures markets in the long run, but no cointegration among prices in the three representative cash markets.

scholarly journals Volatility Forecasting Based on Cyclical Two-Component Model: Evidence from Chinese Futures Markets and Sector Stocks

2020 ◽  
Vol 25 (3) ◽  
pp. 59
Author(s):  
Conghua Wen ◽  
Junwei Wei
Keyword(s):  
Futures Markets ◽  
Realized Volatility ◽  
Futures Market ◽  
Component Model ◽  
Type Model ◽  
Volatility Forecasting ◽  
Improved Method ◽  
Two Component ◽  
Model Evidence ◽  
The Impact

This article aims to study the schemes of forecasting the volatilities of Chinese futures markets and sector stocks. An improved method based on the cyclical two-component model (CTCM) introduced by Harris et al. in 2011 is provided. The performance of CTCM is compared with the benchmark model: Heterogeneous Autoregressive model of Realized Volatility type (HAR-RV type). The impact of open interest for futures market is included in HAR-RV type model. We employ 3 different evaluation rules to determine the most efficient models when the results of different evaluation rules are inconsistent. The empirical results show that CTCM is more accurate than HAR-RV type in both estimation and forecasting. The results also show that the realized range-based tripower volatility (RTV) is the most efficient estimator for both Chinese futures markets and sector stocks.

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