Results 11 to 20 of about 679,163 (312)
Interval number multi-attribute decision-making method based on TOPSIS
Alexandria Engineering Journal, 2022 For multi-attribute decision-making problems with interval numbers whose attribute weights are completely unknown, it is difficult to compare the value of interval numbers.
Jirong Jiang, Min Ren, Jiqiang Wang
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Discrete Dynamics in Nature and Society, 2021 To get rid of the development dilemma of green credit, we constructed a stochastic evolutionary game model of local government, commercial banks, and loan enterprises.
Qingfeng Zhu, Kaimin Zheng, Yilin Wei
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Mixture Density Conditional Generative Adversarial Network Models (MD-CGAN)
Signals, 2021 Generative Adversarial Networks (GANs) have gained significant attention in recent years, with impressive applications highlighted in computer vision, in particular. Compared to such examples, however, there have been more limited applications of GANs to
Jaleh Zand, Stephen Roberts
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Quadratic Function Chaotic System and its Application on Digital Image Encryption
IEEE Access, 2020 To obtain chaotic systems with good properties to help chaos based image encryption, this paper first study the condition under which quadratic functions can be used as pseudo-random sequence generator.
Hongfeng Guo +4 more
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Games, 2022 Take the fort, then take the city. In a two-stage, two-party contest, victory in the initial stage can provide an advantage in the final stage. We examine such momentum in conflict scenarios and investigate how valuable it must be to avoid a Pyrrhic ...
James W. Boudreau +3 more
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Economics and Business Review, 2020 The main goal of this research is to analyse the investment benefits from an incorporation of the volatility exposure to the diversified portfolio from the perspective of a Polish investor.
Latoszek Michał, Ślepaczuk Robert
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Gradient boosting for quantitative finance
The Journal of Computational Finance, 2021 In this paper, we discuss how tree-based machine learning techniques can be used in the context of derivatives pricing. Gradient boosted regression trees are employed to learn the pricing map for a couple of classical, time-consuming problems in quantitative finance.
Davis, Jesse +3 more
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Asynchronous Deep Double Dueling Q-learning for trading-signal execution in limit order book markets
Frontiers in Artificial Intelligence, 2023 We employ deep reinforcement learning (RL) to train an agent to successfully translate a high-frequency trading signal into a trading strategy that places individual limit orders.
Peer Nagy +4 more
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CAPM with various utility functions: Theoretical developments and application to international data
Cogent Economics & Finance, 2017 This paper presents an extension of the Capital Assets Pricing Model (hereafter CAPM) where various utility functions are applied. Specifically, we propose an overall CAPM beta that accounts for the higher order moments and reflects the investor ...
Rihab Bedoui, Houda BenMabrouk
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