带展期风险期限结构模型的随机控制视角

IF 1.1 2区 经济学 Q3 BUSINESS, FINANCE Finance and Stochastics Pub Date : 2023-09-28 DOI:10.1007/s00780-023-00515-z
Claudio Fontana, Simone Pavarana, Wolfgang J. Runggaldier
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引用次数: 0

摘要

摘要本文考虑存在展期风险的一般利率市场,展期风险会产生现货/远期利率价差。我们不需要经典的无套利,而是依赖于最小市场可行性假设,这使我们能够在基准方法的背景下工作。在马尔可夫环境下,我们扩展了Gombani和Runggaldier(数学)的控制理论方法。Finance 23(2013) 659-686),并推导出现货/远期价差的表示,作为合适的随机最优控制问题的值函数,在现实世界的概率下,用幂型目标函数表示。我们通过将其与代表性投资者的风险敏感优化问题联系起来,内生地确定了资金流动性扩散。
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A stochastic control perspective on term structure models with roll-over risk
Abstract In this paper, we consider a generic interest rate market in the presence of roll-over risk, which generates spreads in spot/forward term rates. We do not require classical absence of arbitrage and rely instead on a minimal market viability assumption, which enables us to work in the context of the benchmark approach. In a Markovian setting, we extend the control-theoretic approach of Gombani and Runggaldier ( Math. Finance 23 (2013) 659–686) and derive representations of spot/forward spreads as value functions of suitable stochastic optimal control problems, formulated under the real-world probability and with power-type objective functionals. We determine endogenously the funding–liquidity spread by relating it to the risk-sensitive optimisation problem of a representative investor.
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来源期刊
Finance and Stochastics
Finance and Stochastics 管理科学-数学跨学科应用
CiteScore
2.90
自引率
5.90%
发文量
20
审稿时长
>12 weeks
期刊介绍: The purpose of Finance and Stochastics is to provide a high standard publication forum for research - in all areas of finance based on stochastic methods - on specific topics in mathematics (in particular probability theory, statistics and stochastic analysis) motivated by the analysis of problems in finance. Finance and Stochastics encompasses - but is not limited to - the following fields: - theory and analysis of financial markets - continuous time finance - derivatives research - insurance in relation to finance - portfolio selection - credit and market risks - term structure models - statistical and empirical financial studies based on advanced stochastic methods - numerical and stochastic solution techniques for problems in finance - intertemporal economics, uncertainty and information in relation to finance.
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