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      • Open Access Article

        1 - Forecast the Gold Coin Future Contracts prices by ARIMA models in Iran Mercantile Exchange (IME)
        سعید علی احمدی
        This paper is investigated the Forecasting the Gold Coin Future Contracts prices in Iran Mercantile Exchange (IME). In this paper survey the ability the Forecasting the Gold Coin Future Contracts by Box- Jenkins Methodology. The Box- Jenkins Methodology is included the More
        This paper is investigated the Forecasting the Gold Coin Future Contracts prices in Iran Mercantile Exchange (IME). In this paper survey the ability the Forecasting the Gold Coin Future Contracts by Box- Jenkins Methodology. The Box- Jenkins Methodology is included the Identification, Estimation, Diagnostic Checking and Forecasting. This result indicates that the ARIMA model with the two lags of Autoregressive and with the two lags of Moving Average is appropriated to predict the Gold Coin Future Contracts prices and have the ability the Forecasting the Gold Coin Future Contracts.   Manuscript profile
      • Open Access Article

        2 - Analyze of the dynamics of optimal hedge ratio in the gold coin market: MS-DCC approach
        Sanaz Miri Teimur Mohammadi Farhad Ghaffari
        In this paper, for the first time ,calculation of optimal hedge ratio for future gold coin contracts has been conflated a multivariate GARCH model (dynamic conditional correlation) with Markov Switching (MS).To this end, we use spot and futures daily prices over the 201 More
        In this paper, for the first time ,calculation of optimal hedge ratio for future gold coin contracts has been conflated a multivariate GARCH model (dynamic conditional correlation) with Markov Switching (MS).To this end, we use spot and futures daily prices over the 2017 March through 2018 March in Iran.The results of the Markov regime switching model indicate that the study period is identified under two regimes, which is a regime that reflects the low correlation regime of the futures market and other regime indicating a high correlation on the future market. Furthermore, the optimal hedge ratio of futures contracts are less than 1 and it means the cost of this strategy is less than simple hedge ratio. In general, it can be said that a higher risk prediction under the influence of bad news leads to a transition to a high correlation regime, with the relief of uncertainty, it will be shifted in other regime. In the Economic Analysis of Extreme points of the time series of optimal hedge ratios, results show that among the major fluctuations, the absolute minimum of them is related to 2017 August 25 because of factors such as the transfer of liquidity from the futures market to the stock market at the election in Iran and the 12th of March (the absolute maximum point) because of reasons like managing investors towards secure assets due to fractures in the markets affected by fear of Trump have had dramatic changes in the aforementioned ratio. Manuscript profile
      • Open Access Article

        3 - Estimation the risk-neutral processes in jump–diffusion models of gold coin future contracts in Iran Mercantile Exchange
        Nahid Malekiniya hosein asgari alouj
        Estimation the risk market prices and the functions of the stochastic processes of the model are necessary in commodity derivatives pricing. When a closed-form solution is unclear, estimating of the risk market price is a main question in the jump–diffusion models More
        Estimation the risk market prices and the functions of the stochastic processes of the model are necessary in commodity derivatives pricing. When a closed-form solution is unclear, estimating of the risk market price is a main question in the jump–diffusion models. This paper along with Gomez's, Habibilashgari's and Rodriguez's review (2016) is suggested to estimate the functions of the risk-neutral processes directly from market data of Iran. In this approach, there is no need to estimate the physical drift and the risk market prices of coin future contracts pricing. This research estimates the risk-neutral drifts, volatilities and parameters of the jump range distributions with Iran Mercantile Exchange data of the coin future contract , from 2010 to 2017. The findings show that JDM and DM under price the futures prices and the prices obtained with the JDM are closer to the observed prices than those obtained with the DM. For the longest maturities the JDM provides smaller errors than the DM. The higher the maturity, the higher the differences between the two models. Manuscript profile
      • Open Access Article

        4 - The effect of maturity date, trade volume and open interests on gold coin future price volatility
        Reza Raei Azam Honardoost Yunes Salmani Peyman Tataei
        In this research, the effect of maturity, trade volume and open interests on gold coin future price volatility in Iran commodity market have been studied since Dey 1387 to Shahrivar 1391.For doing that we can utilize two approach. In first approach, by considering 27 co More
        In this research, the effect of maturity, trade volume and open interests on gold coin future price volatility in Iran commodity market have been studied since Dey 1387 to Shahrivar 1391.For doing that we can utilize two approach. In first approach, by considering 27 contracts separately, we perceived that the effect of trade volume is meaningful and positive. As we expected, the effect of maturity and open interests are negative, but it’s not meaningful. In second approach, by using time series observation during sample period, the effect of trade volume and open interests on future price volatility have been studied. As a result, we find that the effect of trade volume and open interests on future price volatility is positive and negative respectively. Both of these effects are meaningful, but,the former is substantially more than the latter. Manuscript profile