政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/98575
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113318/144297 (79%)
Visitors : 51084713      Online Users : 953
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/98575


    Title: 關於信用集中度風險的兩篇論述
    Two Essays on Credit Concentration Risk
    Authors: 傅信豪
    Fu, Hsin Hao
    Contributors: 江彌修
    Chiang, Mi Hsiu
    傅信豪
    Fu, Hsin Hao
    Keywords: 房屋抵押貸款證券
    集中度風險
    微粒化調整
    內部信用增強
    放款投資組合
    多角化
    相關性程度
    銀行績效
    mortgage-backed securities
    concentration risk
    granularity adjustments
    internal credit enhancements
    loan portfolio
    diversification
    dependence structure
    bank performance
    Date: 2016
    Issue Date: 2016-07-01 15:02:10 (UTC+8)
    Abstract: 【第一篇論文中文摘要】
    集中度風險於結構式商品的量化與分析:以房屋抵押貸款證券為例
    "Martin and Wilde (2002)與Gordy (2003)" 針對巴塞爾協定(Basel Accords)中金融機構之投資組合所內藴之集中度風險提出了相對應的微粒化調整(Granularity Adjustment)風險量化準則,然而該模型僅止於單因子架構下探究單一信用標的集中度風險之量化。本文將其架構延用至結構式商品中,允許債權群組內之信用標的具不同區域別,我們採用Hull and White(2010)之跨池違約相關性描述,並結合Pykhtin (2004)中延拓單因子聯繫模型至多因子之方式,進而求取債權群組之單一資產集中度(Name Concentration)與區域類別集中度(Sector Concentration)風險的量化。本文以房屋抵押貸款證券(Mortgage Backed Securities, MBSs)為例,於集中度風險的考量下,藉由檢視不同風險情境下分券之損失起賠點,重新評估房屋抵押貸款證券AAA投資級分券信用評級之合理性。研究結果顯示,AAA評等之分券高度曝險於系統性風險,且於高風險情境下,標的房貸之區域集中現象擴大了違約相關性對債權群組損失分配的影響,致使AAA分券之損失起賠點得以超過其實際擔保額度(subordination)範圍。

    【第二篇論文中文摘要】
    美國銀行放款多角化對其報酬與風險之影響:相關性與傳染的觀點
    本文目的在於分析銀行放款的多角化行為對其報酬與風險之影響。研究發現納入銀行放款投資組合相關性之考量,亦即標的資產之相關性結構以及資產間因契約關係所隱含跨投資組合之傳染途徑,將降低多角化之成效。文中透過因子模型(factor model)建構資產之報酬,同時決定其相關性結構,其中將資產間殘差項相關性作為傳染指標,進一步分析投資組合內標的資產間的平均相關係數、傳染與多角化程度間的關聯性。我們以美國銀行作為研究樣本,分別以赫芬達-赫希曼指數估算投資組合權重分配之集中度、使用組合內標的產業股票報酬資訊來計算投資組合內相關程度,接著利用標的產業與投資組合外產業間的殘差相關性來捕捉產業傳染效果,將此三項指標作為衡量多角化指標,分析其在1987年至2014年間聯貸投資組合多角化情形並試圖分析放款多角化對銀行績效之影響。透過契約關係的界定進而探討顧客傳染如何影響銀行績效。
    研究發現於市場處於平穩期間(tranquil period),所有多角化指標銀行放款均呈現放款多角化程度越高越有助於提高銀行的報酬並降低其風險。然而於危機期間(turmoil period),銀行應將放款權重集中於部分產業、建構相關性較低之組合或選擇較低之傳染效果之產業作為放款的對象,用以提高銀行績效。隱含在危機期間銀行應該選擇適度之多角化策略,若僅以赫芬達-赫希曼指數作為多角化之衡量將顯示危機期間越集中越有助於銀行的表現,此舉將造成解釋上的偏誤。說明於投資組合多角化的衡量上,不該忽略由相關性結構所引發之集中度風險。
    【Essay I】
    Quantification and Analysis of Concentration Risk in Structured Products: the Case of Mortgage Backed Securities
    Granularity adjustments, introduced by Martin and While (2002) and Gordy (2003), allow one to quantify the concentration exposures of credit portfolios due to imperfect diversification. However, they focus solely on name concentrations under an Asymptotic Single Risk Factor (ASRF) framework. In this study, by adapting the multi-pool correlation structure of Hull and White (2010) under the multi-factor setting of Pykhtin (2004), we derive quantitative measures of name and sector concentration that facilitate subsequent analysis of the risk profiles embedded in Mortgage Backed Securities (MBSs). Under different stress scenarios, we examine the impacts of concentration exposures on the internal credit enhancements, in particular, the AAA tranche attachment points. We show that, under severe market conditions, the presence of sector concentrations in the underlying mortgage pools can further amplify the effects of default correlation on the portfolio loss distributions. As a direct consequence, the predetermined subordination level determined by the assignment of tranche attachment points can be exceeded.

    【Essay II】
    How Loan Portfolio Diversification Affects U.S. Banks’ Return and Risk: Correlation and Contagion Perspectives.
    In this paper we investigate how loan portfolio diversification affects the banks’ return and risk. We argue that, the dependence structure of bank loan portfolios, namely, the correlation structure among loan assets and the presence of contagion channels due to contractual relationships across the border of portfolio, contributes to the costs of diversification. Under the factor model framework, we derive a theoretical model to depict the asset returns and their dependence structure. Based on data of US bank loans collected from 1987-2014, our empirical study employs HHI, intra-portfolio correlation, and contagion as proxies for diversification to examine how loan portfolio diversification affects the banks’ profitability and riskiness. In addition, contractual relationships are identified and we investigate how customer contagion affects the bank’s performance. We find that all diversification measures exhibit a positive effect on the performance of U.S. banks during tranquil periods. However, for turmoil periods, banks with loan portfolios of more concentrated weight distributions, lower intra-portfolio correlation, or lower consumer contagion effects would have improved returns and reduced risk. In other words, during crisis, banks should choose an appropriate concentration strategy rather than focus on selected industries as determined solely by the HHI.
    Reference: 【Essay I】References
    Acharya, V. V., Hasan, I., and Saunders, A. (2006). Should banks be diversified? Evidence from individual bank loan portfolios. Journal of Business, 79(3), 1355-1412.
    Adelino, M. (2009). Do investors rely only on ratings? The case of mortgage-backed securities. Job Market Paper, MIT Sloan School of Management and Federal Reserve Bank of Boston.
    Benmelech, E., and Dlugosz, J. (2009). The credit rating crisis. NBER Macroeconomics Annual, 24(1), 161-208.
    Carling, K., Ronnegard, L., and Roszbach, K. (2006). Is firm interdependence within industries important for portfolio credit risk?.
    Coval, J. D., Jurek, J. W., and Stafford, E. (2009a). Economic catastrophe bonds. American Economic Review, 628-666.
    Coval, J. D., Jurek, J. W., and Stafford, E. (2009b). The economics of structured finance. Journal of Economic Perspectives, 23(1), 3-26.
    Düllmann, K., and Masschelein, N. (2010). Sector Concentration in Loan Portfolios and Economic Capital. SSRN Working Paper Series.
    Gordy, M. B. (2003). A risk-factor model foundation for ratings-based bank capital rules. Journal of Financial Intermediation, 12(3), 199-232.
    Gordy, M. B., and Lütkebohmert, E. M. (2007). Granularity adjustment for Basel II. Dt. Bundesbank, Press and Public Relations Division.
    Gourieroux, C., Laurent, J. P., and Scaillet, O. (2000). Sensitivity analysis of values at risk. Journal of Empirical Finance, 7(3), 225-245.
    Hull, J. C., and White, A. D. (2004). Valuation of a CDO and an n-th to default CDS without Monte Carlo simulation. Journal of Derivatives, 12(2), 8-23.
    Hull, J. C., and White, A. D. (2010). The risk of tranches created from mortgages. Financial Analysts Journal, 66(5), 54-67.
    Kalemanova, A., Schmid, B., and Werner, R. (2007). The normal inverse Gaussian distribution for synthetic CDO pricing. Journal of Derivatives, 14(3), 80-94.
    Martin, R., and Wilde, T. (2002). Unsystematic credit risk. Risk, 15, 123-128.
    Pykhtin, M. (2004). Multi-factor adjustment. Risk, 17, 85-90.
    Rossi, S. P., Schwaiger, M. S., and Winkler, G. (2009). How loan portfolio diversification affects risk, efficiency and capitalization: A managerial behavior model for Austrian banks. Journal of Banking and Finance, 33(12), 2218-2226.
    Tabak, B. M., Fazio, D. M., and Cajueiro, D. O. (2011). The effects of loan portfolio concentration on Brazilian banks’ return and risk. Journal of Banking and Finance, 35(11), 3065-3076.
    Wendin, J., and McNEIL, A. J. (2006). Dependent credit migrations. Journal of Credit Risk, 2(3), 87-114.
    Wilde, T. (2001). Probing granularity. Risk, 14, 103-106.
    Zeng, B., and Zhang, J. (2001). An empirical assessment of asset correlation models. Moody’s KMV Research Paper.

    【Essay II】References
    Acharya, V. V., Hasan, I., and Saunders, A. (2006). Should banks be diversified? Evidence from individual bank loan portfolios. Journal of Business, 79(3), 1355-1412.
    Ang, A., and Chen, J. (2002). Asymmetric correlations of equity portfolios. Journal of Financial Economics, 63(3), 443-494.
    Bekaert, G., Harvey, C. R., and Lundblad, C. (2005). Does financial liberalization spur growth? Journal of Financial Economics, 77(1), 3-55.
    Bekaert, G., Harvey, C. R., and Ng, A. (2005). Market integration and contagion. Journal of Business, 78(1), 39-69.
    Bekaert, G., Hodrick, R. J., and Zhang, X. (2009). International stock returns co-movements. Journal of Finance, 64(6), 2591-2626.
    Berger, A. N., Hasan, I., and Zhou, M. (2010). The effects of focus versus diversification on bank performance: Evidence from Chinese banks. Journal of Banking and Finance, 34(7), 1417-1435.
    Bonfiglioli, A. (2008). Financial integration, productivity and capital accumulation. Journal of International Economics, 76(2), 337-355.
    Boyd, J. H., and Prescott, E. C. (1986). Financial intermediary-coalitions. Journal of Economic Theory, 38(2), 211-232.
    Campbell, J. Y., Lettau, M., Malkiel, B. G., and Xu, Y. (2001). Have individual stocks become more volatile? An empirical exploration of idiosyncratic risk. Journal of Finance, 56(1), 1-43.
    Corsetti, G., Pericoli, M., and Sbracia, M. (2005). ‘Some contagion, some interdependence’: More pitfalls in tests of financial contagion. Journal of International Money and Finance, 24(8), 1177-1199.
    Das, S. R., Duffie, D., Kapadia, N., and Saita, L. (2007). Common failings: How corporate defaults are correlated. Journal of Finance, 62(1), 93-117.
    Demirer, R., and Lien, D. (2004). Firm-level return dispersion and correlation asymmetry: challenges for portfolio diversification. Applied Financial Economics, 14(6), 447-456.
    Diamond, D. W. (1984). Financial intermediation and delegated monitoring. Review of Economic Studies, 51(3), 393-414.
    Diamond, D. W., and Dybvig, P. H. (1986). Banking theory, deposit insurance, and bank regulation. Journal of Business, 59(1), 55-68.
    Duffie, D., Saita, L., and Wang, K. (2007). Multi-period corporate default prediction with stochastic covariates. Journal of Financial Economics, 83(3), 635-665.
    Dungey, M., Fry, R., González-Hermosillo, B., and Martin, V. (2002, October). The transmission of contagion in developed and developing international bond markets. In Risk Measurement and Systemic Risk, Proceedings of the Third Joint Central Bank Research Conference (pp. 61-74).
    Dungey, M., Fry, R., González-Hermosillo, B., and Martin, V. L. (2005). Empirical modelling of contagion: a review of methodologies. Quantitative Finance, 5(1), 9-24.
    Egloff, D., Leippold, M., and Vanini, P. (2007). A simple model of credit contagion. Journal of Banking and Finance, 31, 2475-2492.
    Fama, E. F., and French, K. R. (1992). The cross‐section of expected stock returns. Journal of Finance, 47(2), 427-465.
    Fama, E. F., and French, K. R. (1997). Industry costs of equity. Journal of Financial Economics, 43(2), 153-193.
    Fecht, F., Grüner, H. P., and Hartmann, P. (2012). Financial integration, specialization, and systemic risk. Journal of International Economics, 88(1), 150-161.
    Forbes, K. J., and Rigobon, R. (2002). No contagion, only interdependence: measuring stock market co-movements. Journal of Finance, 57(5), 2223-2261.
    Forbes, K., and Rigobon, R. (2001). Measuring contagion: conceptual and empirical issues. In International financial contagion (pp. 43-66). Springer US.
    Gordy, M. B. (2003). A risk-factor model foundation for ratings-based bank capital rules. Journal of Financial Intermediation, 12(3), 199-232.
    Hertzel, M. G., and Officer, M. S. (2012). Industry contagion in loan spreads. Journal of Financial Economics, 103(3), 493-506.
    Hertzel, M. G., Li, Z., Officer, M. S., and Rodgers, K. J. (2008). Inter-firm linkages and the wealth effects of financial distress along the supply chain. Journal of Financial Economics, 87(2), 374-387.
    Jarrow, R. A., and Yu, F. (2001). Counterparty risk and the pricing of defaultable securities. Journal of Finance, 56(5), 1765-1799.
    Jorion, P., and Zhang, G. (2007). Good and bad credit contagion: Evidence from credit default swaps. Journal of Financial Economics, 84(3), 860-883.
    Jorion, P., and Zhang, G. (2009). Credit contagion from counterparty risk. Journal of Finance, 64(5), 2053-2087.
    Kamp, A., Porath, D., & Pfingsten, A. (2005). Do banks diversify loan portfolios? A tentative answer based on individual bank loan portfolios. A Tentative Answer Based on Individual Bank Loan Portfolios (February 28, 2005).
    Lang, L. H., and Stulz, R. (1992). Contagion and competitive intra-industry effects of bankruptcy announcements: An empirical analysis. Journal of Financial Economics, 32(1), 45-60.
    Longin, F., and Solnik, B. (2001). Extreme correlation of international equity markets. Journal of Finance, 649-676.
    Markowitz, H. (1952). Portfolio selection. Journal of Finance, 7(1), 77-91.
    Pfingsten, A., and Rudolph, K. (2002). German banks` loan portfolio composition: Market-orientation vs. Specialisation? IFK.
    Phylaktis, K., and Xia, L. (2009). Equity market co-movement and contagion: A sectoral perspective, Financial Management, 381-409.
    Rossi, S. P., Schwaiger, M. S., and Winkler, G. (2009). How loan portfolio diversification affects risk, efficiency and capitalization: A managerial behavior model for Austrian banks. Journal of Banking and Finance, 33(12), 2218-2226.
    Tabak, B. M., Fazio, D. M., and Cajueiro, D. O. (2011). The effects of loan portfolio concentration on Brazilian banks’ returns and risk. Journal of Banking and Finance, 35(11), 3065-3076.
    Vasicek, O. (1987). Probability of loss on loan portfolio. KMV Corporation, 12(6).
    Description: 博士
    國立政治大學
    金融研究所
    97352506
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0973525061
    Data Type: thesis
    Appears in Collections:[Department of Money and Banking] Theses

    Files in This Item:

    File SizeFormat
    506101.pdf2443KbAdobe PDF283View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback