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題名 匯率風險下壽險公司再保險安排之避險效益評估
Evaluating the Hedging Efficiency of Reinsurance Arrangements under Exchange Rate Volatility
作者 盧承濤
Lu, Cheng-Tao
貢獻者 張士傑<br>曾毓英
盧承濤
Lu, Cheng-Tao
關鍵詞 匯率風險
共同保險
壽險業
避險工具
風險移轉
Foreign exchange risk
Coinsurance
Life insurance
Hedging instruments
Risk transfer
日期 2025
上傳時間 1-Sep-2025 16:03:29 (UTC+8)
摘要 台灣壽險業長期面臨資產與負債間幣別錯配問題,在國際財務報導準則第九號(IFRS 9)實施下,匯率波動對財務報表造成顯著影響,而現行匯率避險工具使用上仍存有限制與成本負擔,本文探討共同保險合約作為匯率風險移轉與避險機制之可行性與經濟效益。 本研究建構可同時移轉保險風險與匯率風險的共同保險合約架構,協助分出公司鎖定換匯成本,並採用 Sweeney(2006)提出之同時迴歸估計法(Seemingly Unrelated Regression, SUR),驗證匯率資料之均值回歸特性。在模型建立基礎上進行蒙地卡羅模擬,進而推導出再保險人所應承擔風險的最適附加費用率。模擬結果顯示,該共同保險合約可有效轉移匯率風險與保險風險,惟其定價對市場波動程度與政策不確定性高度敏感,並存在盈餘分配比例之非線性臨界值,超出臨界值將導致定價失衡。整體而言,本文所提出之共同保險架構可作為壽險業匯率避險的替代方案,惟其應用涉及資本適足與風險移轉之監理判斷,尚需審慎評估與規範。
Taiwan life insurance industry has faced currency mismatches between assets and liabilities, leading to significant impacts on financial statements under International Financial Reporting Standard 9 (IFRS 9) due to exchange rate fluctuations. Existing hedging instruments are constrained by usage limitations and cost inefficiencies. This study explores whether coinsurance contracts can serve as effective tools for transferring and hedging foreign exchange risk and evaluates their practical feasibility and economic implications. We propose a coinsurance structure that simultaneously transfers insurance and currency risk, enabling ceding insurers to lock in foreign exchange costs. Based on the Seemingly Unrelated Regression (SUR) model developed by Sweeney (2006), we validate a mean-reverting exchange rate process and conduct Monte Carlo simulations to derive the optimal loading rate for reinsurers undertaking such risks. Simulation results indicate that the proposed structure can effectively transfer both insurance and currency risks. However, its pricing is highly sensitive to market volatility and policy uncertainty. Furthermore, we identify a nonlinear threshold in the profit-sharing ratio, beyond which the pricing logic collapses. Overall, the proposed coinsurance arrangement presents a viable alternative for foreign exchange risk management in the life insurance sector, though it raises supervisory concerns regarding significant risk transfer and financial engineering.
參考文獻 蕭景元、許永明(2019)。衍生性金融商品、再保險與風險-以英國壽險業為例。經濟論文,47(2),253-295。https://www.airitilibrary.com/Article/Detail?DocID=1018161x-201906-201906280006-201906280006-253-295 Diebold, F. X., & Rudebusch, G. D. (1991). Forecasting output with the composite leading index: a real-time analysis. Journal of the American Statistical Association, 86(415), 603-610. Diebold, F. X., & Mariano, R. S. (1995). Comparing predictive accuracy. Journal of Business & Economic Statistics, 13(3), 253-263. Faust, J., Rogers, J. H., & Wright, J. H. (2003). Exchange rate forecasting: the errors we’ve made. Journal of International Money and Finance, 22(1), 1-31. Kilian, L. (1999). Exchange rates and monetary fundamentals: what do we learn from long-horizon regressions? Journal of Monetary Economics, 43(3), 519-547. Mark, N. C. (1995). Exchange rates and fundamentals: evidence on long-horizon prediction. The American Economic Review, 85(1), 201-218. Meese, R. A., & Rogoff, K. (1983). Empirical exchange rate models of the seventies: do they fit out of sample? Journal of International Economics, 14(1-2), 3-24. Orphanides, A. (2001). Monetary policy rules based on real-time data. The American Economic Review, 91(4), 964-985. Sweeney, R. J. (2006). Mean Reversion in G-10 Nominal Exchange Rates. Journal of International Money and Finance, 25(2), 236-258.
描述 碩士
國立政治大學
風險管理與保險學系
112358025
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0112358025
資料類型 thesis
dc.contributor.advisor 張士傑<br>曾毓英zh_TW
dc.contributor.author (Authors) 盧承濤zh_TW
dc.contributor.author (Authors) Lu, Cheng-Taoen_US
dc.creator (作者) 盧承濤zh_TW
dc.creator (作者) Lu, Cheng-Taoen_US
dc.date (日期) 2025en_US
dc.date.accessioned 1-Sep-2025 16:03:29 (UTC+8)-
dc.date.available 1-Sep-2025 16:03:29 (UTC+8)-
dc.date.issued (上傳時間) 1-Sep-2025 16:03:29 (UTC+8)-
dc.identifier (Other Identifiers) G0112358025en_US
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/159235-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 風險管理與保險學系zh_TW
dc.description (描述) 112358025zh_TW
dc.description.abstract (摘要) 台灣壽險業長期面臨資產與負債間幣別錯配問題,在國際財務報導準則第九號(IFRS 9)實施下,匯率波動對財務報表造成顯著影響,而現行匯率避險工具使用上仍存有限制與成本負擔,本文探討共同保險合約作為匯率風險移轉與避險機制之可行性與經濟效益。 本研究建構可同時移轉保險風險與匯率風險的共同保險合約架構,協助分出公司鎖定換匯成本,並採用 Sweeney(2006)提出之同時迴歸估計法(Seemingly Unrelated Regression, SUR),驗證匯率資料之均值回歸特性。在模型建立基礎上進行蒙地卡羅模擬,進而推導出再保險人所應承擔風險的最適附加費用率。模擬結果顯示,該共同保險合約可有效轉移匯率風險與保險風險,惟其定價對市場波動程度與政策不確定性高度敏感,並存在盈餘分配比例之非線性臨界值,超出臨界值將導致定價失衡。整體而言,本文所提出之共同保險架構可作為壽險業匯率避險的替代方案,惟其應用涉及資本適足與風險移轉之監理判斷,尚需審慎評估與規範。zh_TW
dc.description.abstract (摘要) Taiwan life insurance industry has faced currency mismatches between assets and liabilities, leading to significant impacts on financial statements under International Financial Reporting Standard 9 (IFRS 9) due to exchange rate fluctuations. Existing hedging instruments are constrained by usage limitations and cost inefficiencies. This study explores whether coinsurance contracts can serve as effective tools for transferring and hedging foreign exchange risk and evaluates their practical feasibility and economic implications. We propose a coinsurance structure that simultaneously transfers insurance and currency risk, enabling ceding insurers to lock in foreign exchange costs. Based on the Seemingly Unrelated Regression (SUR) model developed by Sweeney (2006), we validate a mean-reverting exchange rate process and conduct Monte Carlo simulations to derive the optimal loading rate for reinsurers undertaking such risks. Simulation results indicate that the proposed structure can effectively transfer both insurance and currency risks. However, its pricing is highly sensitive to market volatility and policy uncertainty. Furthermore, we identify a nonlinear threshold in the profit-sharing ratio, beyond which the pricing logic collapses. Overall, the proposed coinsurance arrangement presents a viable alternative for foreign exchange risk management in the life insurance sector, though it raises supervisory concerns regarding significant risk transfer and financial engineering.en_US
dc.description.tableofcontents 第一章 研究背景與問題說明 1 第一節 資產負債幣別錯配 1 第二節 現行會計制度之匯率風險 2 第三節 壽險公司之避險成本與策略 3 第二章 再保險工具介紹與制度機制 7 第一節 再保險之基本概念與制度機制 7 第二節 台灣再保險交易之法規分析 10 第三節 共同保險之匯率避險機制設計 16 第三章 模型假設與數理建構 20 第一節 匯率隨機模型選擇與假設 20 第二節 再保險避險交易的模型推導 29 第四章 數值模擬與分析 33 第一節、模擬設計 33 第五章 結論與建議 46 第一節、結論 46 第二節、建議 49 參考文獻 53zh_TW
dc.format.extent 1338571 bytes-
dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0112358025en_US
dc.subject (關鍵詞) 匯率風險zh_TW
dc.subject (關鍵詞) 共同保險zh_TW
dc.subject (關鍵詞) 壽險業zh_TW
dc.subject (關鍵詞) 避險工具zh_TW
dc.subject (關鍵詞) 風險移轉zh_TW
dc.subject (關鍵詞) Foreign exchange risken_US
dc.subject (關鍵詞) Coinsuranceen_US
dc.subject (關鍵詞) Life insuranceen_US
dc.subject (關鍵詞) Hedging instrumentsen_US
dc.subject (關鍵詞) Risk transferen_US
dc.title (題名) 匯率風險下壽險公司再保險安排之避險效益評估zh_TW
dc.title (題名) Evaluating the Hedging Efficiency of Reinsurance Arrangements under Exchange Rate Volatilityen_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) 蕭景元、許永明(2019)。衍生性金融商品、再保險與風險-以英國壽險業為例。經濟論文,47(2),253-295。https://www.airitilibrary.com/Article/Detail?DocID=1018161x-201906-201906280006-201906280006-253-295 Diebold, F. X., & Rudebusch, G. D. (1991). Forecasting output with the composite leading index: a real-time analysis. Journal of the American Statistical Association, 86(415), 603-610. Diebold, F. X., & Mariano, R. S. (1995). Comparing predictive accuracy. Journal of Business & Economic Statistics, 13(3), 253-263. Faust, J., Rogers, J. H., & Wright, J. H. (2003). Exchange rate forecasting: the errors we’ve made. Journal of International Money and Finance, 22(1), 1-31. Kilian, L. (1999). Exchange rates and monetary fundamentals: what do we learn from long-horizon regressions? Journal of Monetary Economics, 43(3), 519-547. Mark, N. C. (1995). Exchange rates and fundamentals: evidence on long-horizon prediction. The American Economic Review, 85(1), 201-218. Meese, R. A., & Rogoff, K. (1983). Empirical exchange rate models of the seventies: do they fit out of sample? Journal of International Economics, 14(1-2), 3-24. Orphanides, A. (2001). Monetary policy rules based on real-time data. The American Economic Review, 91(4), 964-985. Sweeney, R. J. (2006). Mean Reversion in G-10 Nominal Exchange Rates. Journal of International Money and Finance, 25(2), 236-258.zh_TW