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Deep calibration with random grids 使用随机网格进行深度校准
IF 1.3 4区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2024-04-12 DOI: 10.1080/14697688.2024.2332375
Fabio Baschetti, Giacomo Bormetti, Pietro Rossi
We propose a neural network-based approach to calibrating stochastic volatility models, which combines the pioneering grid approach by Horvath et al. [Deep learning volatility: A deep neural networ...
我们提出了一种基于神经网络的随机波动率模型校准方法,该方法结合了 Horvath 等人的开创性网格方法[深度学习波动率:深度学习波动性:一种深度神经网络...
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引用次数: 0
Tail risk aversion and backwardation of index futures 尾部风险规避与指数期货的后向波动
IF 1.3 4区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2024-04-12 DOI: 10.1080/14697688.2024.2330612
Jufang Liang, Dan Yang, Qian Han
We show that tail risk aversion, proxied by the skewness risk premium implied from the SSE 50 ETF options market, explains a significant proportion of the unusually deep backwardation of index futu...
我们的研究表明,上证50ETF期权市场隐含的偏度风险溢价所代表的尾部风险规避在很大程度上解释了股指期货异常深度背驰的原因。
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引用次数: 0
Narrative triggers of information sensitivity 信息敏感性的叙述性触发因素
IF 1.3 4区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2024-04-12 DOI: 10.1080/14697688.2024.2335241
Kim Ristolainen
This research explores the factors contributing to information sensitivity in debt markets, focusing on the potential influences of uncertainty, economic performance, and journalist-dependent langu...
本研究探讨了导致债务市场信息敏感性的因素,重点关注不确定性、经济表现和记者依赖语言的潜在影响。
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引用次数: 0
A modified CTGAN-plus-features-based method for optimal asset allocation 基于修正 CTGAN 加特征的优化资产配置方法
IF 1.3 4区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2024-04-08 DOI: 10.1080/14697688.2024.2329194
José-Manuel Pe na, Fernando Suárez, Omar Larré, Domingo Ramírez, Arturo Cifuentes
We propose a new approach to portfolio optimization that utilizes a unique combination of synthetic data generation and a CVaR-constraint. We formulate the portfolio optimization problem as an asse...
我们提出了一种利用合成数据生成和 CVaR 约束的独特组合来优化投资组合的新方法。我们将投资组合优化问题表述为...
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引用次数: 0
Interactions between monetary and macroprudential policies 货币政策与宏观审慎政策之间的相互作用
IF 1.3 4区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2024-03-26 DOI: 10.1080/14697688.2024.2327065
Gustavo Libório Rocha Lima, Regis Augusto Ely, Daniel Oliveira Cajueiro
This work aims to investigate the behavior of financial agents in a complex setting where they interact and learn about the environment. Using the bottom-up approach of agent-based models, we simul...
这项工作旨在研究金融代理人在复杂环境中的行为,在这种环境中,金融代理人相互影响并了解环境。利用基于代理的模型的自下而上的方法,我们模拟了金融代理的行为。
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引用次数: 0
15 years of Adjoint Algorithmic Differentiation (AAD) in finance 金融领域的交点算法微分 (AAD) 15 年历程
IF 1.3 4区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2024-03-22 DOI: 10.1080/14697688.2024.2325158
Luca Capriotti, Mike Giles
Following the seminal ‘Smoking Adjoint’ paper by Giles and Glasserman [Smoking adjoints: Fast monte carlo greeks. Risk, 2006, 19, 88–92], the development of Adjoint Algorithmic Differentiation (AAD...
继 Giles 和 Glasserman 的开创性论文 "吸烟邻接"[Smoking adjoints: Fast monte carlo greeks. Risk, 2006, 19, 88-92] 之后,邻接算法微分(AAD...
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引用次数: 0
Asymptotics for short maturity Asian options in jump-diffusion models with local volatility 具有局部波动性的跳跃扩散模型中短期限亚洲期权的渐近线
IF 1.3 4区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2024-03-21 DOI: 10.1080/14697688.2024.2326114
Dan Pirjol, Lingjiong Zhu
We present a study of the short maturity asymptotics for Asian options in a jump-diffusion model with a local volatility component, where the jumps are modeled as a compound Poisson process. The an...
我们对具有局部波动成分的跳跃-扩散模型中亚洲期权的短期期限渐近线进行了研究,其中跳跃被模拟为复合泊松过程。该模...
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引用次数: 0
GPT's idea of stock factors GPT 的股票因素理念
IF 1.3 4区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2024-03-05 DOI: 10.1080/14697688.2024.2318220
Yuhan Cheng, Ke Tang
We amalgamate the capabilities of the GPT-4 computational model with the avant-garde methodology of autonomous factor generation, culminating in the synthesis of high-return factors within the equi...
我们将 GPT-4 计算模型的功能与自主因子生成的前卫方法相结合,最终在等价交换中合成了高回报因子。
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引用次数: 0
A static replication approach for callable interest rate derivatives: mathematical foundations and efficient estimation of SIMM–MVA 可赎回利率衍生品的静态复制方法:SIMM-MVA 的数学基础和高效估算
IF 1.3 4区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2024-02-26 DOI: 10.1080/14697688.2024.2312523
J. H. Hoencamp, S. Jain, B. D. Kandhai
The computation of credit risk measures such as exposure and Credit Value Adjustments (CVA) requires the simulation of future portfolio prices. Recent metrics, such as dynamic Initial Margin (IM) a...
计算风险敞口和信用价值调整(CVA)等信用风险指标需要模拟未来的投资组合价格。最近的指标,如动态初始保证金(IM)和信用价值调整(CVA),都需要模拟未来的投资组合价格。
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引用次数: 0
Monte-Carlo Methods and Stochastic Processes: From Linear to Non-Linear 蒙特卡洛方法与随机过程:从线性到非线性
IF 1.3 4区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2024-02-21 DOI: 10.1080/14697688.2024.2310568
Aurélien Alfonsi, Stefano De Marco
Published in Quantitative Finance (Ahead of Print, 2024)
发表于《定量金融》(2024 年提前出版)
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引用次数: 0
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Quantitative Finance
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