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New numerical method via RBF approach to the price of fixed-rate mortgages | ||
Computational Methods for Differential Equations | ||
مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 17 اردیبهشت 1404 اصل مقاله (1.33 M) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22034/cmde.2025.65809.3045 | ||
نویسندگان | ||
Rahele Jalili1؛ Abdolsadeh Neisy* 2؛ Alireza Vahidi3 | ||
1Department of Mathematics, Science and Research branch, Islamic Azad University, Tehran, Iran. | ||
2Department of Mathematics, Faculty of Mathematics Science and Computer, Allameh Tabataba’i University (ATU), Tehran, Iran. | ||
3Department of Mathematics, Shahr-e-rey branch, Islamic Azad University, Tehran, Iran. | ||
چکیده | ||
In this paper, we introduce a novel fixed-rate mortgage (FRM) pricing model that overcomes the limitations of existing approaches. Unlike traditional models which rely on deterministic interest rate volatility and thus produce inaccurate valuations in volatile markets, our model incorporates stochastic volatility to more accurately reflect the dynamic nature of interest rate risk. This results in a pricing formula derived from a stochastic volatility framework, providing a strong theoretical basis for understanding volatility’s impact on FRM prices. We use the efficient and accurate Radial Basis Function (RBF) method to solve the resulting partial differential equation (PDE), effectively handling complex boundary conditions. Our numerical experiments demonstrate the model’s practical application and illustrate how FRM prices react to varying volatility across different market conditions. Our findings underscore the critical need for stochastic volatility in FRM valuation and offer valuable insights for improved hedging strategies, ultimately contributing to more realistic and accurate mortgage pricing and enhanced risk management for financial institutions and investors. | ||
کلیدواژهها | ||
Fixed-rate mortgages؛ Stochastic volatility؛ Stochastic interest rate؛ Heston model؛ Radial Basis Function | ||
آمار تعداد مشاهده مقاله: 16 تعداد دریافت فایل اصل مقاله: 12 |