基于注意机制的LPR与曲线拟合方法研究

Na Song, Shanhong Zheng, Wanlong Li, Shaocong Yu
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引用次数: 0

摘要

随着利率市场化改革的不断深入,如何突破市场利率向贷款利率传导的堵塞,成为资金转移定价面临的新挑战。贷款利率和市场利率的单一组合往往会忽视它们各自的问题。目前,LPR利率难以与政策利率形成良好的互动。同时,市场利率的高波动性不能适应存贷款成本的变化。因此,我们剔除市场利率的高波动峰值,通过神经网络模型整合市场利率和LPR利率,构建内部资金转移定价基准曲线。商业银行可以根据自身发展需要进行调整,充分发挥FTP在利率传导中的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research of curve fitting method combined with LPR based on attention mechanism
With the continuous deepening of interest rate market reform, how to break through the blockage of market interest rate transmission to loan interest rates has become a new challenge for fund transfer pricing. A single combination of loan interest rates and market interest rates tends to ignore their respective problems. At present, LPR interest rates are difficult to form a good interaction with policy interest rates. At the same time, the high volatility of market interest rates cannot adapt to the cost of deposits and loans. Therefore, we eliminates the high volatility peaks of market interest rates, and integrates market interest rates and LPR interest rates through a neural network model to construct an internal fund transfer pricing benchmark curve. Commercial banks can make adjustments based on their own development needs and give full play to the role of FTP in the transmission of interest rates.
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