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    題名: 大中華區的行業輪動策略——基於擁擠交易
    Sector Rotation Strategies in Greater China--Based on Crowded Trade
    作者: 邊宇濤
    Bian, Yu-Tao
    貢獻者: 廖四郎
    邊宇濤
    Bian, Yu-Tao
    關鍵詞: 行業輪動
    擁擠交易
    泡沫
    大中華區
    Sector Rotation
    Crowded Trade
    Bubbles
    Greater China
    日期: 2022
    上傳時間: 2022-08-01 17:30:57 (UTC+8)
    摘要: 當資產價格發生顯著變化而基本面沒有變化時,會出現擁擠交易。作者提供了兩種方法來識別不同的行業泡沫階段。一種衡量標準是資產中心性,它基於主成分分析 (PCA),以區分泡沫和基本合理的價格上漲。結合另一種標準——相對價值,定位到不同的泡沫階段,如無泡沫、泡沫膨脹階段和泡沫破裂階段。本研究利用上述方法形成了大中華區不同行業泡沫階段的策略。利用期間為2013年至2021年的一級行業指數,本淨比和市值來探索三個市場的投資者行為和風險偏好,發現每個市場的最佳策略都幫助投資者獲得高超額回報和卡爾馬比率。實證結果表明,當擁擠交易發生時,投資者可以利用行業ETF來追求超額收益,監管機構應監控拋售泡沫階段可能出現的價格崩盤。
    Crowded trade occurs when the asset prices significantly change while the fundamentals do not shift. The author provides two measures for identifying the different sector bubble stages. One measure, asset centrality, is based on principle component analysis (PCA) to distinguish bubbles from fundamentally justified price increases. Combined with relative value, we can locate the different bubble stages, such as no, run-up, and sell-off bubbles. The research uses the above method to form different sector bubble stages’ strategies in Greater China. Based on the Section Index Level 1 from 2013 to 2021, the research employs sector index, price to book value, and free-market value to explore the investor behaviors and risk appetites in three markets, revealing the best strategy in each market helps investors obtain a high excess return and Calmar ratio. The empirical results show that investors can take advantage of sector ETFs to pursue the excess return when crowded trade occurs and that regulators should monitor the possible price collapse in a sell-off bubble stage.
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    武文超(2014),「中國A股市場的行業輪動現象分析——基於動量和反轉交易策略的檢驗」,金融理論與實踐,第9期。

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    周麗雲(2017),「投資者情緒、投資者擁擠交易行為與資產定價研究」,華南理工大學博士學位論文。

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    Lorenzo Newsome and Pamela A. Turner (2007), “Homemade Sector Hedge Funds: Can Investors Replicate the Returns Without Paying the Fees”, Journal of Investing.

    Ben Jacobsen, Jeffrey Scott Stangl and Nuttawat Visaltanachoti (2008), “Sector Rotation Across the Business Cycle.”

    James Chong and G. Michael Phillips (2015), “Sector rotation with macroeconomic factors”, The journal of wealth management, 18(1), 54-68.

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    Momtchil Pojarliev and Richard M. Levich (2011), “Detecting Crowded Trades in Currency Funds”, Financial Analysts Journal, 67(1), 26- 39.

    Yan Philip (2013), “Crowded Trades, Short Covering, and Momentum Crashes.”

    Albert J Menkveld and Author Notes (2017), “Crowded Positions: An Overlooked Systemic Risk for Central Clearing Parties”, The Review of Asset Pricing Studies, 7(2), 209-242.

    Chunpeng Yang and Liyun Zhou (2016), “Individual stock crowded trades, individual stock investor sentiment and excess returns”, The North American Journal of Economics and Finance, 38, 39-53.

    Menkveld and Albert J. (2017), “Systemic Risk in Central Clearing: Should Crowded Trades Be Avoided?”.

    Robin Greenwood, Andrei Shleifer and Yang You (2019), “Bubbles for Fama”, Journal of Financial Economics, 131(1), 20-43.

    Liyun Zhou and Chunpeng Yang (2019), “Differences in the effects of seller-initiated versus buyer-initiated crowded trades in stock markets”, Journal of Economic Interaction and Coordination, 14, 859–890.

    William Kinlaw, Mark Kritzman and David Turkington (2019), “Crowded Trades: Implications for Sector Rotation and Factor Timing”, The Journal of Portfolio Management, 45(5), 46-57.
    描述: 碩士
    國立政治大學
    金融學系
    109352034
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0109352034
    資料類型: thesis
    DOI: 10.6814/NCCU202201006
    顯示於類別:[金融學系] 學位論文

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