B

  • Bid-ask spread Measuring information asymmetry surrounding earnings announcements [Volume 5, Issue 1, 2025, Pages 103-118]

  • Black-Scholes model Option pricing under non-normal distribution in mixed of Gram-Charlier model and fractional models (A case study of Iran Stock Exchange‏) [Volume 5, Issue 1, 2025, Pages 47-62]

C

  • C₀-semigroups A generation theorem for the perturbation of exponentially equicontinuous C₀-semigroups on locally convex spaces [Volume 5, Issue 1, 2025, Pages 167-173]

  • Conditional Risk Assessment Enhanced portfolio performance evaluation using adjusted dynamic conditional Jensen’s alpha: A time-sensitive risk approach [Volume 5, Issue 1, 2025, Pages 89-101]

D

  • Deep Learning Comparing the performance of different deep learning architectures for time series forecasting [Volume 5, Issue 1, 2025, Pages 63-87]

  • Dynamic Beta Estimation Enhanced portfolio performance evaluation using adjusted dynamic conditional Jensen’s alpha: A time-sensitive risk approach [Volume 5, Issue 1, 2025, Pages 89-101]

  • Dynamic Jensen' s Alpha Enhanced portfolio performance evaluation using adjusted dynamic conditional Jensen’s alpha: A time-sensitive risk approach [Volume 5, Issue 1, 2025, Pages 89-101]

E

  • Earnings Announcement Measuring information asymmetry surrounding earnings announcements [Volume 5, Issue 1, 2025, Pages 103-118]

  • Epidemiological model Designing an epidemic health ‎insurance [Volume 5, Issue 1, 2025, Pages 121-135]

F

  • Fair premium Designing an epidemic health ‎insurance [Volume 5, Issue 1, 2025, Pages 121-135]

G

  • GARCH Models in Finance Enhanced portfolio performance evaluation using adjusted dynamic conditional Jensen’s alpha: A time-sensitive risk approach [Volume 5, Issue 1, 2025, Pages 89-101]

  • Gated recurrent unit Comparing the performance of different deep learning architectures for time series forecasting [Volume 5, Issue 1, 2025, Pages 63-87]

  • Gram-Charlier expansion Option pricing under non-normal distribution in mixed of Gram-Charlier model and fractional models (A case study of Iran Stock Exchange‏) [Volume 5, Issue 1, 2025, Pages 47-62]

H

  • Healthcare Insurance Designing an epidemic health ‎insurance [Volume 5, Issue 1, 2025, Pages 121-135]

I

  • Information Asymmetry Measuring information asymmetry surrounding earnings announcements [Volume 5, Issue 1, 2025, Pages 103-118]

L

  • Leveraged ExchangeTraded Funds (LETFs) Comparative analysis of stochastic models for simulating leveraged ETF price paths [Volume 5, Issue 1, 2025, Pages 15-46]

  • Life Insurance Surrender analysis of life insurance in Iran at two micro-corporate and macroeconomic levels [Volume 5, Issue 1, 2025, Pages 1-13]

  • Longevity risk‎ Modifying premiums for life insurance products using specific mortality tables [Volume 5, Issue 1, 2025, Pages 137-153]

  • Long short-term memory Comparing the performance of different deep learning architectures for time series forecasting [Volume 5, Issue 1, 2025, Pages 63-87]

M

  • Machine learning algorithms‎ Mitigating data imbalance for enhanced third-party insurance claim prediction using machine ‎learning [Volume 5, Issue 1, 2025, Pages 175-187]

  • Macroeconomic Surrender analysis of life insurance in Iran at two micro-corporate and macroeconomic levels [Volume 5, Issue 1, 2025, Pages 1-13]

  • Micro-Corporate Surrender analysis of life insurance in Iran at two micro-corporate and macroeconomic levels [Volume 5, Issue 1, 2025, Pages 1-13]

  • Mortality Risk A mathematical model for deriving the optimal trajectory of life insurance demand [Volume 5, Issue 1, 2025, Pages 189-204]

O

  • Optimal Control Theory A mathematical model for deriving the optimal trajectory of life insurance demand [Volume 5, Issue 1, 2025, Pages 189-204]

  • Optimal Life Insurance Time-Path A mathematical model for deriving the optimal trajectory of life insurance demand [Volume 5, Issue 1, 2025, Pages 189-204]

  • Option pricing Option pricing under non-normal distribution in mixed of Gram-Charlier model and fractional models (A case study of Iran Stock Exchange‏) [Volume 5, Issue 1, 2025, Pages 47-62]

P

  • Path Forecasting and Simulation Comparative analysis of stochastic models for simulating leveraged ETF price paths [Volume 5, Issue 1, 2025, Pages 15-46]

  • Portfolio Optimization On data-driven robust portfolio optimization with semi mean absolute deviation via support vector clustering [Volume 5, Issue 1, 2025, Pages 155-165]

  • Portfolio Performance Metrics Enhanced portfolio performance evaluation using adjusted dynamic conditional Jensen’s alpha: A time-sensitive risk approach [Volume 5, Issue 1, 2025, Pages 89-101]

R

  • Recurrent Neural Network Comparing the performance of different deep learning architectures for time series forecasting [Volume 5, Issue 1, 2025, Pages 63-87]

  • Risk-Adjusted Returns Enhanced portfolio performance evaluation using adjusted dynamic conditional Jensen’s alpha: A time-sensitive risk approach [Volume 5, Issue 1, 2025, Pages 89-101]

S

  • Semi-mean absolute deviation On data-driven robust portfolio optimization with semi mean absolute deviation via support vector clustering [Volume 5, Issue 1, 2025, Pages 155-165]

  • Side effects of a disease Designing an epidemic health ‎insurance [Volume 5, Issue 1, 2025, Pages 121-135]

  • Stochastic Modeling Comparative analysis of stochastic models for simulating leveraged ETF price paths [Volume 5, Issue 1, 2025, Pages 15-46]

  • Stochastic Volatility Option pricing under non-normal distribution in mixed of Gram-Charlier model and fractional models (A case study of Iran Stock Exchange‏) [Volume 5, Issue 1, 2025, Pages 47-62]

  • Support vector clustering On data-driven robust portfolio optimization with semi mean absolute deviation via support vector clustering [Volume 5, Issue 1, 2025, Pages 155-165]

  • Surrender Analysis Surrender analysis of life insurance in Iran at two micro-corporate and macroeconomic levels [Volume 5, Issue 1, 2025, Pages 1-13]

T

  • Time Series Forecasting Comparing the performance of different deep learning architectures for time series forecasting [Volume 5, Issue 1, 2025, Pages 63-87]

  • Transformer Architecture Comparing the performance of different deep learning architectures for time series forecasting [Volume 5, Issue 1, 2025, Pages 63-87]

U

  • Uncertainty On data-driven robust portfolio optimization with semi mean absolute deviation via support vector clustering [Volume 5, Issue 1, 2025, Pages 155-165]

V

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