簡易檢索 / 詳目顯示

研究生: 邱亮瑜
Chiu, Liang-Yu
論文名稱: 價格跳躍對價格發現之影響
The impact of price jump on price discovery
指導教授: 蔡蒔銓
Tsai, Shih-Chaun
口試委員: 賴慧文 黃瑞卿 蔡蒔銓
口試日期: 2021/03/16
學位類別: 碩士
Master
系所名稱: 管理研究所
Graduate Institute of Management
論文出版年: 2022
畢業學年度: 110
語文別: 中文
論文頁數: 37
中文關鍵詞: 價格跳躍價格發現委託簿
DOI URL: http://doi.org/10.6345/NTNU202200342
論文種類: 學術論文
相關次數: 點閱:126下載:16
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 本研究探討不同委託簿價格隱含的資訊差異對價格發現之影響,並將投資人分為三類 (外資、造市商及散戶),探討不同投資人的交易量對價格發現之影響。此外本研究利用方差互換進行價格跳躍檢驗,研究台指期貨在非價格跳躍期間與價格跳躍期間對價格發現之影響,樣本區間為2011年6月1日至2012年11月30日台灣加權指數與台指期貨之日內每秒高頻資料。一般情況下在非價格跳躍期間成交價與最佳一檔價格隱含的資訊較多,所衡量出的價格發現能力較高,造市商作為市場中流動性的提供者,而流動性的提高在市場中會提高價格發現的能力,因此造市商的交易量對於價格發現能力有較高的正向影響。然而由本研究發現,當資訊到達市場引發交易,市場因接收到資訊而有價格跳躍的產生時,委託簿價外隱含的資訊對價格發現的能力反而是最高的,外資在市場中相較其他投資人能獲得更多資訊,因此外資的交易量對於價格發現能力有較高的正向影響,下單積極度也會變為更有耐心,所以非最佳一檔委託簿中在特定時點下(例如:價格跳躍發生時)還是藏有市場中與價格相關的資訊。

    This paper examines the impact of the difference in information implied by different commission book prices on price discovery, and divides investors into three categories (foreign investors, market makers, and retail investors) to investigate the impact of different investors' trading volume on price discovery. In addition, this paper uses variance swaps to examine the impact of price jumps on price discovery between non-price jumps and price jumps in Taiwan index futures, and the sample period is from June 1, 2011 to November 30, 2012, with intra-day high frequency data of Taiwan index futures and Taiwan weighted index. In general, the price of a transaction and the best price in the order book during the non-price jumping period implies more information, and the measured price discovery ability is higher. Market makers are providers of liquidity in the market, and increased liquidity increases price discovery in the market, so market makers' trading volume has a high positive impact on price discovery ability. However, this paper found that when information arrives in the market to trigger trading and the market has price jumps due to the information received, the ability of price discovery is the highest when the information is hidden outside the order book. Foreign investors can get more information in the market compared to other investors, so foreign investors' trading volume has a higher positive impact on price discovery ability, and the order aggressiveness becomes more patient. Therefore, the non-optimal order book still contains price-related information in the market at specific points in time (e.g., when price jumps occur).

    第壹章 緒論 1 第一節 研究動機與背景 1 第二節 研究流程 2 第貳章 文獻探討 3 第一節 價格發現相關文獻 3 第二節 高頻交易與價格發現相關文獻 4 第三節 價格跳躍相關文獻 5 第參章 研究方法 7 第一節 研究樣本與變數定義 7 第二節 單根檢定 8 第三節 委託簿價格 10 第四節 資訊比例模型 11 第五節 價格跳躍 13 第六節 研究假說 15 第肆章 實證結果 17 第一節 敘述統計 17 第二節 單根檢定分析 18 第三節 資訊比例份額模型 19 第四節 回歸模型 20 第伍章 研究結論與建議 32 參考文獻 34

    Barndorff-Nielsen, O. E., & Shephard, N. (2006). Econometrics of testing for jumps in financial economics using bipower variation. Journal of financial Econometrics, 4(1), 1-30.

    Brogaard, J., Carrion, A., Moyaert, T., Riordan, R., Shkilko, A., & Sokolov, K. (2018). High frequency trading and extreme price movements. Journal of Financial Economics, 128(2), 253-265.

    Brogaard, J., Hendershott, T., & Riordan, R. (2014). High-frequency trading and price discovery. The Review of Financial Studies, 27(8), 2267-2306.

    Brogaard, J., Hendershott, T., & Riordan, R. (2019). Price discovery without trading: Evidence from limit orders. The Journal of Finance, 74(4), 1621-1658.

    Cao, C., Hansch, O., & Wang, X. (2009). The information content of an open limit‐order book. Journal of Futures Markets: Futures, Options, and Other Derivative Products, 29(1), 16-41.

    Chaboud, A. P., Chiquoine, B., Hjalmarsson, E., & Vega, C. (2014). Rise of the machines: Algorithmic trading in the foreign exchange market. The Journal of Finance, 69(5), 2045-2084.

    Conrad, J., Cornell, B., Landsman, W. R., & Rountree, B. R. (2006). How do analyst recommendations respond to major news?. Journal of Financial and Quantitative Analysis, 41(1), 25-49.

    Fleming, J., Ostdiek, B., & Whaley, R. E. (1996). Trading costs and the relative rates of price discovery in stock, futures, and option markets. Journal of Futures Markets: Futures, Options, and Other Derivative Products, 16(4), 353-387.

    Goettler, R. L., Parlour, C. A., & Rajan, U. (2009). Informed traders and limit order markets. Journal of Financial Economics, 93(1), 67-87.

    Hasbrouck, J. (1991). Measuring the information content of stock trades. The Journal of Finance, 46(1), 179-207.

    Hasbrouck, J. (1991). The summary informativeness of stock trades: An econometric analysis. The Review of Financial Studies, 4(3), 571-595.
    Hasbrouck, J. (1995). One security, many markets: Determining the contributions to price discovery. The journal of Finance, 50(4), 1175-1199.

    Hoffmann, P. (2014). A dynamic limit order market with fast and slow traders. Journal of Financial Economics, 113(1), 156-169.

    Jiang, G. J., & Oomen, R. C. (2008). Testing for jumps when asset prices are observed with noise–a “swap variance” approach. Journal of Econometrics, 144(2), 352-370.

    Jiang, G. J., & Zhu, K. X. (2017). Information shocks and short-term market underreaction. Journal of Financial Economics, 124(1), 43-64.

    Patton, A. J., & Sheppard, K. (2015). Good volatility, bad volatility: Signed jumps and the persistence of volatility. Review of Economics and Statistics, 97(3), 683-697.

    Kambeu, E., Mpofu, O., & Muchochoma, D. (2017). Price Discovery and Volatility: A theoretical Approach. International Journal of Finance & Banking Studies (2147-4486), 6(2), 37-43.

    Chordia, T., Roll, R., & Subrahmanyam, A. (2005). Evidence on the speed of convergence to market efficiency. Journal of Financial Economics, 76(2), 271-292.
    Glosten, L. R., & Milgrom, P. R. (1985). Bid, ask and transaction prices in a specialist market with heterogeneously informed traders. Journal of financial economics, 14(1), 71-100.

    Boehmer, E., & Kelley, E. K. (2009). Institutional investors and the informational efficiency of prices. The Review of Financial Studies, 22(9), 3563-3594.

    Chung, C. Y., Lee, J., & Park, J. (2014). Are individual investors uninformed? Evidence from trading behaviors by heterogeneous investors around unfaithful corporate disclosure. Asia‐Pacific Journal of Financial Studies, 43(2), 157-182.

    Griffiths, M. D., Smith, B. F., Turnbull, D. A. S., & White, R. W. (2000). The costs and determinants of order aggressiveness. Journal of Financial Economics, 56(1), 65-88.

    Chang, C. C., Hsieh, P. F., & Wang, Y. H. (2010). Information content of options trading volume for future volatility: Evidence from the Taiwan options market. Journal of Banking & Finance, 34(1), 174-183.

    Bernstein, P. L. (1987). Liquidity, stock markets, and market makers. Financial Management, 54-62.

    Das, S. (2008, May). The effects of market-making on price dynamics. In Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems-Volume 2 (pp. 887-894).

    Sudiman, J., Allen, D. E., & Powell, R. J. (2013). The contribution of foreign investors to price discovery in the Indonesian stock exchange. Annals of Financial Economics, 8(02), 1350008.

    Boehmer, E., & Wu, J. (2013). Short selling and the price discovery process. The Review of Financial Studies, 26(2), 287-322.

    Frijns, B., Indriawan, I., & Tourani-Rad, A. (2018). The interactions between price discovery, liquidity and algorithmic trading for US-Canadian cross-listed shares. International Review of Financial Analysis, 56, 136-152.

    Rzayev, K., & Ibikunle, G. (2021). Order aggressiveness and flash crashes. International Journal of Finance & Economics, 26(2), 2647-2673.

    Lo, I., & Sapp, S. G. (2010). Order aggressiveness and quantity: How are they determined in a limit order market?. Journal of International Financial Markets, Institutions and Money, 20(3), 213-237.

    Huang, C. (1989). The state and foreign investment: the cases of Taiwan and Singapore. Comparative Political Studies, 22(1), 93-121.

    下載圖示
    QR CODE