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Physics-informed convolutional transformer for predicting volatility surface 预测波动面的物理信息卷积变换器
IF 1.3 4区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2024-01-09 DOI: 10.1080/14697688.2023.2294799
Soohan Kim, Seok-Bae Yun, Hyeong-Ohk Bae, Muhyun Lee, Youngjoon Hong
Predicting volatility is important for asset predicting, option pricing and hedging strategies because it cannot be directly observed in the financial market. The dynamics of the volatility surface...
预测波动率对于资产预测、期权定价和对冲策略非常重要,因为波动率无法在金融市场上直接观测到。波动率表面的动态...
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引用次数: 0
Estimating correlations among elliptically distributed random variables under any form of heteroskedasticity 在任何形式的异方差下估算椭圆分布随机变量之间的相关性
IF 1.3 4区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2024-01-04 DOI: 10.1080/14697688.2023.2278502
Matteo Pelagatti, Giacomo Sbrana
The paper introduces a semiparametric estimator of the correlations among elliptically distributed random variables invariant to any form of heteroscedasticity, robust to outliers, and asymptotical...
本文介绍了一种椭圆分布随机变量间相关性的半参数估计器,该估计器对任何形式的异方差都是不变的,对异常值都是稳健的,并且是渐近的。
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引用次数: 0
Deep attentive survival analysis in limit order books: estimating fill probabilities with convolutional-transformers 限价订单簿中的深度存活分析:利用卷积变换器估算成交概率
IF 1.3 4区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2024-01-04 DOI: 10.1080/14697688.2023.2286351
Álvaro Arroyo, Álvaro Cartea, Fernando Moreno-Pino, Stefan Zohren
One of the key decisions in execution strategies is the choice between a passive (liquidity providing) or an aggressive (liquidity taking) order to execute a trade in a limit order book (LOB). Esse...
执行策略的关键决策之一是在限价订单簿(LOB)中执行交易时选择被动(提供流动性)订单还是主动(占用流动性)订单。在这种情况下...
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引用次数: 0
Adaptive online mean-variance portfolio selection with transaction costs 有交易成本的自适应在线均值-方差投资组合选择
IF 1.3 4区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2023-12-19 DOI: 10.1080/14697688.2023.2287134
Sini Guo, Jia-Wen Gu, Wai-Ki Ching, Benmeng Lyu
Online portfolio selection is attracting increasing attention in both artificial intelligence and finance communities due to its efficiency and practicability in deriving optimal investment strateg...
在线投资组合选择因其在推导最佳投资策略方面的高效性和实用性而日益受到人工智能和金融界的关注。
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引用次数: 0
On parametric optimal execution and machine learning surrogates 关于参数优化执行和机器学习代用程序
IF 1.3 4区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2023-12-19 DOI: 10.1080/14697688.2023.2282657
Tao Chen, Mike Ludkovski, Moritz Voß
We investigate optimal order execution problems in discrete time with instantaneous price impact and stochastic resilience. First, in the setting of linear transient price impact we derive a closed...
我们研究了具有瞬时价格影响和随机弹性的离散时间中的最优订单执行问题。首先,在线性瞬时价格影响的环境中,我们推导出一个封闭的...
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引用次数: 0
Regime-switching affine term structures 时序切换仿射项结构
IF 1.3 4区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2023-12-19 DOI: 10.1080/14697688.2023.2288871
Andreas Celary, Zehra Eksi-Altay, Paul Krühner
We consider an HJM model setting for Markov-chain modulated forward rates. The underlying Markov chain is assumed to induce regime switches on the forward curve dynamics. Our primary focus is on th...
我们考虑了马尔可夫链调制远期利率的 HJM 模型设置。假设基本马尔可夫链会引起远期曲线动态的制度转换。我们的主要重点是...
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引用次数: 0
Functional quantization of rough volatility and applications to volatility derivatives 粗糙波动率的函数量化及其在波动率衍生品中的应用
IF 1.3 4区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2023-12-03 DOI: 10.1080/14697688.2023.2273414
O. Bonesini, G. Callegaro, A. Jacquier
We develop a product functional quantization of rough volatility. Since the optimal quantizers can be computed offline, this new technique, built on the insightful works by [Luschgy, H. and Pagès, ...
提出了粗糙挥发性的产品函数量化方法。由于最优量化器可以离线计算,这种建立在Luschgy, H.和pag的富有洞察力的工作基础上的新技术……
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引用次数: 0
The Politics of Financial Control: The Role of the House of Commons 金融控制的政治:下议院的角色
IF 1.3 4区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2023-12-01 DOI: 10.1080/14697688.2023.2283200
Teguh Ahmad Asparill, Rossy Lambelanova, Andi Pitono
Published in Quantitative Finance (Ahead of Print, 2023)
发表于《定量金融》(2023年出版前)
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引用次数: 0
Centred expected shortfall (CES): a traditional asset manager’s view on decomposing downside investment risk 中心预期缺口(CES):传统资产管理公司对下行投资风险分解的观点
IF 1.3 4区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2023-12-01 DOI: 10.1080/14697688.2023.2269992
Erik Kroon, Mehdi-Vincent Hacini, Koye Somefun
Risk driver contributions are key to understanding portfolio risk. Often, this is done by decomposing portfolio volatility. This is problematic in the presence of non-elliptical distributions. Some...
风险驱动因素的贡献是理解投资组合风险的关键。通常,这是通过分解投资组合的波动性来完成的。这在存在非椭圆分布时是有问题的。一些……
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引用次数: 0
Bubbles and dependence between international equity markets 国际股票市场之间的泡沫和依赖
IF 1.3 4区 经济学 Q3 BUSINESS, FINANCE Pub Date : 2023-11-23 DOI: 10.1080/14697688.2023.2278508
Wuyi Ye, Lingbo Gao, Xiaoquan Liu
In this study, we develop a copula-based Markov regime-switching model using information contained in asset price bubbles to explore the dynamic dependence between international equity markets. Thi...
在本研究中,我们建立了一个基于copula的马尔可夫政权转换模型,利用资产价格泡沫中的信息来探索国际股票市场之间的动态依赖关系。这……
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引用次数: 0
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Quantitative Finance
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