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    政大機構典藏 > 商學院 > 會計學系 > 學位論文 >  Item 140.119/30181
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    題名: 會計揭露對於市場風險之資訊內涵
    How informative are accounting disclosures about market risk?
    作者: 魏向璟
    Wei,Hsiang-Chin
    貢獻者: 張清福
    Chang,Chingfu
    魏向璟
    Wei,Hsiang-Chin
    關鍵詞: 市場風險
    風險值
    蒙地卡羅模擬法
    幾何布朗運動
    Market risk
    Value at Risk (VaR)
    Monte Carlo simulation
    Geometric Brownian Motion
    日期: 2005
    上傳時間: 2009-09-11 17:24:19 (UTC+8)
    摘要: 基於SEC之要求,越來越多美國金融機構於其財務報表附註中揭露金融交易資產之風險值;然而計算風險值涉及到許多假設,於是導致過去部分文獻對於風險值資訊揭露之可靠性產生質疑。本研究以風險值之揭露對於報表使用者之資訊價值作為研究課題;為求與附註揭露之風險值資訊比較,本研究以公司帳列之金融交易資產(Trading Assets)、金融交易收入(Trading Revenue)為基礎,利用蒙地卡羅模擬法模擬帳列金融交易資產於次期可能產生之最大潛在損失,並且透過OLS regression及panel data model探討:
    (1)風險值及金融交易資產潛在可能損失是否可以預測次期金融交易收入波動
    (2)風險值與金融交易資產潛在可能損失資訊之提供是否影響次期股票交易量
    (3)風險值與金融交易資產潛在可能損失資訊是否可以有效預測次期股價報酬 率變異。

    實證結果顯示,風險值之揭露與金融交易資產潛在可能損失之資訊對於預計次期金融交易收入之波動與股價報酬率變異均呈現顯著正相關;易言之,上述兩種資訊之揭露均提供增額之資訊價值。惟另方面,風險值之揭露與金融交易資產潛在可能損失之資訊卻與次期股票交易量呈正相關,也就是說上述兩種資訊的揭露反而會造成投資人降低長期投資持有的意願。
    Financial institutions in the United States are required by the Securities and Exchange Commission to disclose their Value at Risk (VaR) in the footnotes of the financial statements. Over the years, VaR has been used by institutional investors, industry consultants, and regulators as one of the key measures of market risk. However, there are a number of approaches to calculating VaR and some of them may involve various statistical models and assumptions. Due to the fact that different models and assumptions may be used, the VaR numbers produced by different institutions are difficult to compare with one another. The usefulness of these numbers is therefore decreased.

    This thesis examines the usefulness of disclosures of VaR information. In order to compare with VaR disclosures, the implied potential maximum losses of trading assets are simulated by using Monte Carlo simulation. We then employ the OLS regression and the panel data models to investigate the following research questions:

    (1)whether VaR and implied potential maximum losses of trading assets disclosed by financial institutions are instrumental in predicting the variability of trading revenue for the next quarter;
    (2)whether VaR and implied potential maximum losses of trading assets disclosed by financial institutions affect investors` investing decision;
    (3)how useful are VaR and implied potential maximum losses of trading assets in predicting the volatility of daily stock return next quarter.

    The empirical results indicate that VaR and implied potential maximum losses of trading assets are significantly related to the variability of trading revenue and the volatility of daily stock returns next quarter. This evidence suggests that both types of disclosures provide incremental information on predicting the variability of trading revenue and investment risk in the future. Nevertheless, we also find that both VaR disclosures and implied potential maximum losses of trading assets are positively associated with future average stock trading volume, implying that investors tend to trade stock more frequently when the market risk information is disclosed.
    參考文獻: Ahmed, A., A. Beatty, and B. Bettinghaus. 2000. Evidence on the efficacy of interest rate risk disclosures by commercial banks. Working paper, Syracuse University, Syracuse, New York and Pennsylvania State University, University Park, Pennsylvania.
    Basel Committee on Banking Supervision (BCBS). 1988. International Convergence of Capital Measurement and Capital Standards. Basel, Switzerland: BIS.
    ________, 1995. An Internal Model- Based Approach to Market Risk Capital Requirements. Basel. Switzerland: BIS.
    ________, 1996. Amendment to the Basel Capital Accord to Incorporate Market Risk. Basel. Switzerland: BIS.
    ________, 2004. International Convergence of Capital Measurement and Capital Standards: A Revised Framework. Basel, Switzerland: BIS
    Chamberlain, S., J. Howe, and H. Popper. 1997. The exchange rate exposure of U.S. and Japanese banking Institutions. Journal of Banking and Finance 21 (June): 871-892.
    Culp, C., and M. Miller. 1996. The SEC’s costly disclosure rules. The Wall Street Journal (June 25): A14
    Financial Accounting Standards Board (FASB). 1991. Disclosures about fair value of financial instruments. Statement of Financial Accounting Standards No. 107. Norwalk, Conn. : FASB
    ________, 1994. Disclosure about Derivative Financial Instruments and Fair Value of Financial Instruments. Statement of Financial Accounting Standards No. 119. Norwalk, Conn.: FASB
    Greene, W., 2003. Econometric analysis. Upper Saddle River, New Jersey: Pearson Education, Inc.
    Gujarati, D. N., 2003. Basic Econometric, fourth edition. U.S.A: McGraw Hill.
    Hodder, L., L. Koonce, and M. McAandily. 2001. SEC market risk disclosures: implications for judgment and decision making. Accounting Horizons 15(March): 49-70.
    Hodder, L. 2002. Relevance of Market Risk Disclosures by commercial banks. Working paper, Stanford University.
    J.P. Morgan and Reuters. 1996. RiskMetricsTM- Technique Document. Morgan Guaranty Trust Company of New York
    Jorion, P. 1990, The exchange-rate exposure of U.S multinationals. The Journal of Business 63 (July): 331-345.
    ________, 2000. Value at Risk: The New Benchmark for Managing Financial Risk. New York, NY: McGraw-Hill.
    ________, 2002. How informative are value-at-risk disclosures? The Accounting Review 77 (October): 911-931.
    Kandel, E., and N. Pearson. 1995. Differential interpretation of public signals and trade in speculative markets. Journal of Political Economy 103 (August): 831-872.
    Kim, O., and R. Verrecchia. 1997. Market liquidity and volume around earnings announcements. Journal of Accounting and Economics 17 (January); 41-67.
    Knight, H. 1921. Risk, Uncertainty and Profit. Boston, Massachusetts: Hougthton Miffin.
    Leong, K. 1996. The right approach. Risk (Value at Risk Special Supplement) (June): 9-15.
    Lismeier, J., and N. Pearson. 1997. Quantitative disclosures of market risk in the SEC release. Accounting Horizons 11 (March): 107-135.
    ________. 2000. Value at Risk. Financial Analysts Journal 56 (March): 47-67.
    ________, D. Thornton, M. Venkatachalam, and M. Welker. 2002. The effect of mandated market risk disclosures on trading volume sensitivity to interest rate, exchange rate, and commodity price movements. The Accounting Review 77 (April): 343-377.
    Liu. C., S. Ryan, and H. Tan. 2004. How banks’ value-at-risk disclosures predict their total and priced risk: Effects of bank technical sophistication and learning over time. Review of Accounting Studies 9 (June-September): 265-294
    Penza, P., and V. K. Bansal. 2001. Measuring Market Risk with Value of Risk. New York, NY: John Wiley & Sons, Inc.
    Rajagopal, S. 1999. Early evidence on the informative of the SEC’s market risk disclosures: The case of commodity price risk exposure of oil and gas producers. The Accounting Review 74 (July): 251-280.
    RiskMetrics Group. 2001. Return to RiskMetrics: The Evolution of Standard. Technique Document of RiskMetrics Group.
    Schrand, C. 1997. The Association between stock-price interest rate sensitivity and disclosures about derivative instruments. The Accounting Review 72 (January): 87-110.
    Securities and Exchange Commission (SEC). 1997. Disclosure of Accounting Policies for Derivative Financial Instruments and Derivative Commodity Instruments and Disclosure of Quantitative and Qualitative Information about Market Risk Inherent in Derivative Financial Instruments, Other Financial Instruments and Derivative Commodity Instruments. Release No. 33-7386, FRR No. 48. Washington D.C. : Government Printing Office.
    ________, 2000. Selective Disclosure and Insider Trading. Securities Act Release No. 7881. Washington D.C. : Government Printing Office.
    The banker, 2005. Top 1000 by country. The banker 155:953(July):284
    Vlaar, G. 2000. Value at Risk models for Dutch bond portfolios. Journal of Banking and Finance 24 (July):1134-1154.
    White, H., 1980. A heteroskedasticity-consistent covariance matrix estimator and a direct test of heteroskedasticity. Econometrics 48: 817-838.
    Wong, M. 2000. The association between SFAS No. 119 derivatives disclosures and the foreign exchange risk exposure of manufacturing firms. Journal of Accounting Research 38 (September): 387-418.
    描述: 碩士
    國立政治大學
    會計研究所
    93353040
    94
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0093353040
    資料類型: thesis
    顯示於類別:[會計學系] 學位論文

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