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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
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dc.contributor.advisor | 王耀輝(Yaw-Juei Wang) | |
dc.contributor.author | Shih-Kang Chao | en |
dc.contributor.author | 趙士綱 | zh_TW |
dc.date.accessioned | 2021-05-20T21:08:02Z | - |
dc.date.available | 2016-07-06 | |
dc.date.available | 2021-05-20T21:08:02Z | - |
dc.date.copyright | 2011-07-06 | |
dc.date.issued | 2011 | |
dc.date.submitted | 2011-06-03 | |
dc.identifier.citation | Adams, Z., F uss, R., and Gropp, R. (2010), “Modeling spillover effects among financial institutions: A state-dependent sensitivity value-at-risk (sdsvar) approach”, EBS Working Paper.
Adrian, T. and Brunnermeier, M.K. (2010), “Covar”, Working Paper. Bandt, O., Hartmann, P., and Peydr´o, J.L. (2009),“Systemic risk in banking: An update”, The Oxford Handbook of Banking. Brady, N.F. (1988), “Report of the presidential task force on market machanisms”,U.S. Government Printing Office. Carlsson, H. (1983), “Remainder term estimates of the renewal function”,The Annals of Probability, 11(1), 143–157. Carlsson, H. and Wainger, S. (1983), “An asymptotic series expansion of the multidimensional renewal measure”, The Annals of Probability, 11(1), 143–157. Cont, R. and Tankov, P. (2004), Financial Modeling with Jump Processes, Chapman/Hall. Dreier, I. and Kotz, S. (2002), “A note on the characteristic function of the t-distribution”, Statistics and Probability Letters, 57, 221–224. Durret, R. (2005), Probability: Theory and Examples, Duxbury Press. Fama, E.F. (1963), “Mandelbrot and the stable paretian hypothesis”, The Journal of Business, 36, 420–429. Fama, E.F. and French, K.R. (1993), “Common risk factors in the returns on stocks and bonds”, Journal of Financial Econometrics, 33, 3–56. Feller, W. (1966), An Introduction to Probability Theory and Its Applications II, Wiley. Forbes, K.J. and Rigobon, R. (2002), “No contagion, only interdependence: Measuring stock market comovements”, The Journal of Finance, 57(5), 2223–2261. Fuh, C.D. and Hu, I. (2004), “Efficient importance sampling for events of moderate deviations with applications”, Biometrica, 91, 471–490. __________(2007), “Estimation in hidden markov models via efficient importance sampling”, Bernoulli, 13(2), 492–513. Fuh, C.D., Hu, I., Hsu, Y.H., and Wang, R.H. (2011), “Efficient simulation of value at risk with heavy-tailed risk factors”, Operation Research, forthcoming. Gauthier, C., Lehar, A., and Souissi, M. (2009), “Macroprudential capital requirements and systemic risk”, Bank of Canada Working Paper. Glasserman, P., Heidelberger, P., and P., Shahabuddin (2000), “Variance reduction techniques for estimating value-at-risk”, Management Science, 46, 1349–1364. _________(2002), “Portfolio value-at-risk with heavy-tailed risk factors”, Mathematical Finance, 12(3), 239–269. Hurst, S. (1995), “The characteristic function of the student t distribution”, Financial Mathematics Research Report, SRR95-044. Kan, R. and Zhou, G. (2006), “Modeling non-normality using multivariate t:Implications for asset pricing”, Working Paper. Keener, R. (1990), “Asymptotic expansions in multivariate renewal theory”, Stochastic Processes and their Applications, 34, 137–153. ___________(2006), “Multivariate sequential analysis with linear boundaries”, IMS Lecture Notes-Monograph Series, 50, 58–79. Kou, S.G. and Wang, H. (2003), “First passage times of a jump diffusion process”, Advances in Applied Probability, 35, 504–531. ________ (2004), “Double exponential jump diffusion model”, Management Science, 50(9), 1178–1192. Mandelbrot, B. (1960), “The pareto-l´evy law and the distribution of income”, International Economic Review, 1, 79–106. Nolan, J. P. (2011), Stable Distributions - Models for Heavy Tailed Data, Boston: Birkhauser, in progress, Chapter 1 online at academic2.american.edu/∼jpnolan. Ramezani, C.A. and Zeng, Y. (1998), “Maximum likelihood estimation of asymmetric jump-diffusion processes: Application to security prices”, Working Paper. __________(2006), “An empirical assessment of the double exponential jumpdiffusion process”, Working Paper. Rubin, R.E., Greenspan, A., A., Levitt, and Born, B. (1999), “Hedge funds, leverage, and the lessons of long-term capital management”, Report of the President’s Working Group on Financial Markets. Siegmund, D. (1988), Sequential Analysis: Tests and Confidence Intervals, Springer. Wong, A. and Fong, T. (2010), “An analysis of the interconnectivity among the asia-pacific economies”, Hong Kong Monetary Authority Working Paper. Zhou, C. (2009), “Are banks too big to fail?”, DNB Working Paper. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/10182 | - |
dc.description.abstract | 近年來金融危機的發生有越來越頻繁和嚴重的趨勢。其中有個明顯的現象,一家金融機構的危機似乎會連帶影響到其他的金融機構。許多財務學家開始研究如何評估來自於連帶影響造成的系統性風險。在本篇論文中,我們根據Adrian and Brunnermeier (2010)提出的廣義CoVaR,提出了一個具體的可操作定義。在此定義下,我們以多元更新理論提出解析近似公式。根據此公式,利用常態和雙指數跳躍過程,以數值法計算近似CoVaR,與利用蒙地卡羅模擬法所計算的CoVaR 做比較。此外,我們也利用常態近似CoVaR 與t 分配蒙地卡羅模擬的結果作比較,因為在t 分配下無法計算近似CoVaR。結果顯示不同模型的確會影響計算的準確度,而蒙地卡羅模擬法需要較長的計算時間,近似法在某些狀況下可以提供較準確的值並更有效率。最後我們亦提供未來研究的方向。 | zh_TW |
dc.description.abstract | Financial crisis seems to come more regularly in recent years. A prominent phenomenon is the spillover effect shown in the time of crisis. Many researchers begin to find a simple measure to characterize the risk of dependence in financial market. In this study, we propose a special case of CoVaR, which is a measure of dependence risk proposed by Adrian and Brunnermeier (2010). The asymptotic conditional distribution is derived from multivariate renewal theory under normal distribution and DEJP process in discrete time setting. The CoVaR’s are computed numerically and are compared with the benchmarks from Monte Carlo simulation.
We also compare the normal asymptotic CoVaR with the t distribution Monte Carlo simulated CoVaR since it is hard to get the asymptotic CoVaR under t distribution. We find that model assumption is likely to affect the CoVaR values and that the Monte Carlo simulation is computationally demanding. The asymptotic CoVaR’s are suitably accurate in some most needed situations with higher time-efficiency. Possibilities for further researches are also suggested in the conclusion. | en |
dc.description.provenance | Made available in DSpace on 2021-05-20T21:08:02Z (GMT). No. of bitstreams: 1 ntu-100-R98723073-1.pdf: 780606 bytes, checksum: 3c940f600588ef40c811635d06a76af4 (MD5) Previous issue date: 2011 | en |
dc.description.tableofcontents | 目 錄
誌謝…………………………………………………………………. i 中文摘要…………………………………………………………… ii 英文摘要…………………………………………………………. iii 1. Introduction………………………………………………….. 1 2. Asymptotic CoVaR……………………………………………… 8 3. Numerical Computation of CoVaR..…………………………14 3.1. Choice of Parameters………………………………………14 3.2. Normal Monte Carlo Simulation………………………… 15 3.3. Asymptotic Conditional Quantiles………………………18 4. CoVaR: Other Stock Return Models …..………………… 24 4.1. Double Exponential Jump Process (DEJP)………………25 4.2. Monte Carlo Simulation with t distribution…………35 4.3. Stable Distributions………………………………………42 5. Conclusions…………………………………………….......44 Appendices A. Multivariate Renewal Theory……………………………….45 B. Derivation of (6)…………………………………………….50 C. Probability Density Function of DEJP… ……………….50 D. Probability Density Function of Stable Distribution..51 References………………………………………………………...51 | |
dc.language.iso | en | |
dc.title | 金融相依性之風險測量 | zh_TW |
dc.title | Measuring Risk on Financial Interdependence | en |
dc.type | Thesis | |
dc.date.schoolyear | 99-2 | |
dc.description.degree | 碩士 | |
dc.contributor.coadvisor | 傅承德(Cheng-Der Fuh) | |
dc.contributor.oralexamcommittee | 張森林(San-Lin Chung),鄧惠雯(Huei-Wen Teng) | |
dc.subject.keyword | 相依風險值,風險值,溢出效果,財務相依性,多元更新理論,首度,通過時間,隨機漫步, | zh_TW |
dc.subject.keyword | CoVaR,Value-at-Risk,Spillover Effect,Financial Interdependence,Multivariate Renewal Theory,First-Passage Time,Random Walk, | en |
dc.relation.page | 55 | |
dc.rights.note | 同意授權(全球公開) | |
dc.date.accepted | 2011-06-07 | |
dc.contributor.author-college | 管理學院 | zh_TW |
dc.contributor.author-dept | 財務金融學研究所 | zh_TW |
顯示於系所單位: | 財務金融學系 |
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