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Insurance Portfolio Valuation under Market Jumps: A Framework Combining Kou Jump-Diffusion Forecasting and Dynamic CPPI Hedging
Jurnal Matematika, Statistika dan Komputasi · Vol. 23 No. 1 (2026) · pp. 7–19
ISSN 2614-8811, 1858-1382
Published 2026-09-15
Publisher Department of Mathematics, Hasanuddin University
Language en
Abstract
This study develops an integrated valuation framework for insurance portfolios under discontinuous market conditions. The framework combines asset-price forecasting based on the Kou jump-diffusion model with Dynamic Constant Proportion Portfolio Insurance (D-CPPI) to support portfolio protection and capital guarantee management. The Kou jump-diffusion model is employed to capture asymmetric jumps and extreme market movements, while D-CPPI dynamically allocates wealth between risky and risk-free assets. To address gap risk, a volatility-adjusted risk multiplier with a non-negativity constraint is incorporated into the portfolio insurance mechanism. The proposed framework is evaluated using S&P 500 index data from 2006–2010 at daily, weekly, and monthly observation frequencies. The forecasting results demonstrate satisfactory predictive performance, with Mean Absolute Percentage Error (MAPE) values of 4.76%, 5.04%, and 5.36% for the daily, weekly, and monthly models, respectively. Portfolio simulations indicate that arbitrarily selected multipliers can lead to substantial losses and floor violations, whereas the constrained volatility-adjusted multiplier maintains portfolio values above the guaranteed floor across all observation frequencies and effectively mitigates gap risk. These findings suggest that integrating Kou jump-diffusion forecasting with D-CPPI provides an effective approach for insurance portfolio valuation under volatile market conditions. The proposed framework contributes to the literature by jointly addressing asset-price jumps, dynamic portfolio allocation, and gap-risk mitigation within a unified insurance portfolio management framework.
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Metadata source: OAI-PMH (metadata jurnal) https://journal.unhas.ac.id/index.php/jmsk/oai,
first harvested 5 Nov 2026,
last seen 5 Nov 2026.
Original metadata (oai_dc)
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<dc:title xml:lang="en">Insurance Portfolio Valuation under Market Jumps: A Framework Combining Kou Jump-Diffusion Forecasting and Dynamic CPPI Hedging </dc:title>
<dc:creator xml:lang="en">Fitriawati, Andi</dc:creator>
<dc:creator xml:lang="en">Indratno, Sapto Wahyu</dc:creator>
<dc:creator xml:lang="en">Sari, Kurnia Novita</dc:creator>
<dc:creator xml:lang="en">Febrianti, Werry</dc:creator>
<dc:subject xml:lang="en">Dynamic-CPPI</dc:subject>
<dc:subject xml:lang="en">Hedging</dc:subject>
<dc:subject xml:lang="en">Kou jump difussion</dc:subject>
<dc:subject xml:lang="en">Unit-linked portfolio valuation</dc:subject>
<dc:subject xml:lang="en">Actuarial Science</dc:subject>
<dc:subject xml:lang="en">Financial Modeling</dc:subject>
<dc:subject xml:lang="en">Portfolio</dc:subject>
<dc:subject xml:lang="en">Insurance Mathematics</dc:subject>
<dc:subject xml:lang="en">Risk Management</dc:subject>
<dc:subject xml:lang="en">Stochastic Interest Rate</dc:subject>
<dc:description xml:lang="en">This study develops an integrated valuation framework for insurance portfolios under discontinuous market conditions. The framework combines asset-price forecasting based on the Kou jump-diffusion model with Dynamic Constant Proportion Portfolio Insurance (D-CPPI) to support portfolio protection and capital guarantee management. The Kou jump-diffusion model is employed to capture asymmetric jumps and extreme market movements, while D-CPPI dynamically allocates wealth between risky and risk-free assets. To address gap risk, a volatility-adjusted risk multiplier with a non-negativity constraint is incorporated into the portfolio insurance mechanism. The proposed framework is evaluated using S&amp;P 500 index data from 2006–2010 at daily, weekly, and monthly observation frequencies. The forecasting results demonstrate satisfactory predictive performance, with Mean Absolute Percentage Error (MAPE) values of 4.76%, 5.04%, and 5.36% for the daily, weekly, and monthly models, respectively. Portfolio simulations indicate that arbitrarily selected multipliers can lead to substantial losses and floor violations, whereas the constrained volatility-adjusted multiplier maintains portfolio values above the guaranteed floor across all observation frequencies and effectively mitigates gap risk. These findings suggest that integrating Kou jump-diffusion forecasting with D-CPPI provides an effective approach for insurance portfolio valuation under volatile market conditions. The proposed framework contributes to the literature by jointly addressing asset-price jumps, dynamic portfolio allocation, and gap-risk mitigation within a unified insurance portfolio management framework.</dc:description>
<dc:publisher xml:lang="en">Department of Mathematics, Hasanuddin University</dc:publisher>
<dc:date>2026-09-15</dc:date>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
<dc:type xml:lang="en">Text</dc:type>
<dc:format>application/pdf</dc:format>
<dc:identifier>https://journal.unhas.ac.id/index.php/jmsk/article/view/49589</dc:identifier>
<dc:identifier>10.20956/gxed0068</dc:identifier>
<dc:source xml:lang="en">Jurnal Matematika, Statistika dan Komputasi; Vol. 23 No. 1 (2026): September 2026; 7-19</dc:source>
<dc:source>2614-8811</dc:source>
<dc:source>1858-1382</dc:source>
<dc:language>en</dc:language>
<dc:relation>https://journal.unhas.ac.id/index.php/jmsk/article/view/49589/15001</dc:relation>
<dc:coverage xml:lang="en">Actuarial science and financial mathematics applications in unit-linked insurance portfolios using jump diffusion and CPPI hedging.</dc:coverage>
<dc:rights xml:lang="en">Copyright (c) 2026 Jurnal Matematika, Statistika dan Komputasi</dc:rights>
<dc:rights xml:lang="en">https://creativecommons.org/licenses/by/4.0</dc:rights>
</oai_dc:dc>
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APA 7
Fitriawati, A., Indratno, S. W., Sari, K. N., & Febrianti, W. (2026). Insurance Portfolio Valuation under Market Jumps: A Framework Combining Kou Jump-Diffusion Forecasting and Dynamic CPPI Hedging. Jurnal Matematika, Statistika dan Komputasi, 23(1), 7–19. https://doi.org/10.20956/gxed0068
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IEEE
A. Fitriawati, S. W. Indratno, K. N. Sari, and W. Febrianti, “Insurance Portfolio Valuation under Market Jumps: A Framework Combining Kou Jump-Diffusion Forecasting and Dynamic CPPI Hedging,” Jurnal Matematika, Statistika dan Komputasi, vol. 23, no. 1, pp. 7–19, 2026, doi: 10.20956/gxed0068.
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