• Title/Summary/Keyword: Unbiasedness Hypothesis

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An Empirical Study on Asia Foreign Exchange Market Efficiency (아시아 외환시장의 효율성 분석)

  • 장맹렬;송봉윤
    • Journal of Korea Port Economic Association
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    • v.19 no.2
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    • pp.111-139
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    • 2003
  • In this paper, the unbiasedness hypothesis cannot be rejected for JPY. It means that Japanese forward exchange market is efficient. This implies that there would not be an unusual profit from speculation. However, the unbiasedness hypothesis can be rejected for THB, HKD, IDR. It means that Asian forward exchange market is inefficient. This implies that there would be an unusual profit from all available information. This suggests that forward exchange rates cannot be an unbiased estimator of future spot exchange rate. This result explains that the actual pricing for forward rate is not based on the international financial market's pricing mechanism of interest rate parity theory, but rather depends upon that simple market expectations and aspirations.

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The Measurement and Comparison of the Relative Efficiency for Currency Futures Markets : Advanced Currency versus Emerging Currency (통화선물시장의 상대적 효율성 측정과 비교 : 선진통화 대 신흥통화)

  • Kim, Tae-Hyuk;Eom, Cheol-Jun;Kang, Seok-Kyu
    • The Korean Journal of Financial Management
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    • v.25 no.1
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    • pp.1-22
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    • 2008
  • This study is to evaluate, to the extent to, which advanced currency futures and emerging currency futures markets can predict accurately the future spot rate. To this end, Johansen's the maximum-likelihood cointegration method(1988, 1991) is adopted to test the unbiasedness and efficiency hypothesis. Also, this study is to estimate and compare a quantitative measure of relative efficiency as a ratio of the forecast error variance from the best-fitting quasi-error correction model to the forecast error variance of the futures price as predictor of the spot price in advanced currency futures with in emerging currency futures market. Advanced currency futures is British pound and Japan yen. Emerging currency futures includes Korea won, Mexico peso, and Brazil real. The empirical results are summarized as follows : First, the unbiasedness hypothesis is not rejected for Korea won and Japan yen futures exchange rates. This indicates that the emerging currency Korea won and the advanced currency Japan yen futures exchange rates are likely to predict accurately realized spot exchange rate at a maturity date without the trader having to pay a risk premium for the privilege of trading the contract. Second, in emerging currency futures markets, the unbiasedness hypothesis is not rejected for Korea won futures market apart from Mexico peso and Brazil real futures markets. This indicates that in emerging currency futures markets, Korea won futures market is more efficient than Mexico peso and Brazil real futures markets and is likely to predict accurately realized spot exchange rate at a maturity date without risk premium. Third, this findings show that the results of unbiasedness hypothesis tests can provide conflicting finding. according to currency futures class and forecasts horizon period, Fourth, from the best-fitting quasi-error correction model with forecast horizons of 14 days, the findings suggest the Japan yen futures market is 27.06% efficient, the British pound futures market is 26.87% efficient, the Korea won futures market is 20.77% efficient, the Mexico peso futures market is 11.55%, and the Brazil real futures market is 4.45% efficient in the usual order. This indicates that the Korea won-dollar futures market is more efficient than Mexico peso, and Brazil real futures market. It is therefore possible to concludes that the Korea won-dollar currency futures market has relatively high efficiency comparing with Mexico peso and Brazil real futures markets of emerging currency futures markets.

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A Study on the Two Equal Tail Critical Region for the Testing Statistical Hypothesis (통계적 가설검정에 있어서의 등측기각역에 관한 고찰)

  • 김광섭
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.5 no.7
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    • pp.25-27
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    • 1982
  • In most introductory statistics courses and text, the two equal tail test is presented without justification. In the present paper, the two equal tail critical region will be discussed in the light of unbiasedness with some test examples for the mean and the variance based on the random sample $X_1$, $X_2$,....$X_n$ from N($\mu$, $\delta^2$) using only elementary mathematics.

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