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11	穩健型最適避險比率估計-以台灣市場為例 / Robust estimation of the optimal hedge ratio 黃信凱, Huang, Hsin Kai Unknown Date (has links) Because on the method of Harris and Shen (2003), we implement the robust estimator of optimal hedge ratio in Taiwan stock market. By using the Taiwan Stock Index and Taiwan Stock Index Futures, we used the robust estimation of optimal hedge ratio. We use two estimators, the rolling window model and the exponentially weighted moving average (EWMA), to estimate the robust optimal hedge ratio. We also compare the hedging effectiveness of the robust hedge ratios and the traditional least- squared hedge ratios. We find that the volatility of the hedged portfolio using robust optimal hedge ratio is substantially lower than that of the portfolio using the traditional hedge ratios. With the less excessive volatility, the transaction cost decrease substantially, and the cost of rebalancing portfolio is lower as well. / Because on the method of Harris and Shen (2003), we implement the robust estimator of optimal hedge ratio in Taiwan stock market. By using the Taiwan Stock Index and Taiwan Stock Index Futures, we used the robust estimation of optimal hedge ratio. We use two estimators, the rolling window model and the exponentially weighted moving average (EWMA), to estimate the robust optimal hedge ratio. We also compare the hedging effectiveness of the robust hedge ratios and the traditional least- squared hedge ratios. We find that the volatility of the hedged portfolio using robust optimal hedge ratio is substantially lower than that of the portfolio using the traditional hedge ratios. With the less excessive volatility, the transaction cost decrease substantially, and the cost of rebalancing portfolio is lower as well. 最適避險比率指數加權移動平均滾視窗法 optimal hedge ratio EWMA Rolling Window Method
12	期貨最適避險比率之實證研究-時間數列分析 / The optimal hedge ratio in future market - time series analysis 王秀菁, Wang.Shiu Ching Unknown Date (has links) 在充滿不確定性之交易市場中，每位交易者會盡量利用所擁有之資訊，在市場有干擾（如，風險性資產供給之不確定性、個人偏好不同、個人面對之稅負環境不同等）之情形下，市場會顯露出部份私人訊息，故交易者亦會經由對價格和交易量之觀察習得訊息；擁有私人訊息之交易者稱為消息靈通者(Informed)，未擁有私人訊息而只能經由觀察價格而習(learn )得訊息之交易者稱為消息不靈通者(Uninformed)，他們二者之差異在於他們是否願花成本或資源以購買訊息。本文係在干擾理性預期模型下，利用所設定之特殊效用函數--絕對風險規避效用函數及假設隨機變數為多元常態分配，探討市場有干擾情形下，在第一期有私人訊息而在第二期有公開訊息揭露之不對稱訊息模型中價格之資訊性，分別分析了公告訊息和私人訊息之干擾程度、風險性資產供給之不確定及購買訊息人數對二期價格資訊性之影響。在所設定的模型有解下，本文利用這些影響因素對公告訊息和私人訊息在總合需求計劃部位 (Position)的彈性說明二期價格資訊性。同時文中亦探討購買訊息人數之內生決定，顯示了公告訊息之揭露會修正交易者之看法而減少私人蒐集訊息之誘因。最適避險比率時間數列分析轉換函數模型 optimal hedge ratio time series model transfer function model
13	Swedish Equity Sectors Risk Management with Commodities : Revisiting dynamic conditional correlations and hedge ratios Engström, Daniel, Gustafsson, Niklas January 2017 (has links) The purpose of this study is to investigate changes in dynamic conditional correlations between Swedish equity sector indices and commodities using oil, gold, copper and a general commodity index. Additionally the purpose is to evaluate which of the two methods, DCC- GARCH or GO-GARCH that is more efficient in estimating correlation for hedge ratio calculation. Daily data on the FTSE30 index of Sweden and its sector indices have been studied between the years 1994 and 2017. A DCC-GARCH (1,1) and GO-GARCH (1,1) model with one autoregressive term AR(1) using multivariate Student t- and Multivariate Affine Negative Inverse Gaussian distribution were used to estimate conditional correlations. Correlations between Swedish FTSE30, its sector indices and commodities are considerably lower than previous research has found American or emerging markets correlation with commodities to be. This suggests better diversification opportunities with commodities for the Swedish market. Optimal hedge ratios (OHR) was calculated and back tested using a rolling window analysis with 1000 days forecast length and 20 days re-estimation window and evaluated using a calculated hedge effectiveness index (HE). Determined by HE, copper is the best hedge for the Swedish composite FTSE30 and sector indices using conditional correlation from the GO-GARCH during the data period. Gold is considered as a semi-strong safe haven due to its negative correlation with all sectors. Additionally, this study identifies a temporarily large increase in the correlation between the Swedish equities sectors and composite index with commodities around the years 2015/2016. This study also emphasizes the difference between stressful and calm periods in the market. Hedging hedge commodities futures hedge ratio conditional correlation DCC GO-GARCH DCC-GARCH GARCH Dynamic conditional correlation oil GSCI copper gold safe haven optimal hedge ratio finance economics markets risk risk management hedge effectiveness Risk riskhantering råvaror terminer futures hedging hedge GARCH Economics Nationalekonomi

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