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基于动态多步损失厌恶的在线投资组合管理策略
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作者 马聪 陈怡君 《工程数学学报》 CSCD 北大核心 2024年第4期677-692,共16页
奖励函数设计的合理性对于提升深度强化学习算法的性能至关重要。针对投资组合管理任务,识别并解决了现有奖励函数的两大缺陷:一是过度关注短期市场波动而忽略长期趋势;二是对带来奖励和造成损失行为的奖惩相当,这并不符合投资者的损失... 奖励函数设计的合理性对于提升深度强化学习算法的性能至关重要。针对投资组合管理任务,识别并解决了现有奖励函数的两大缺陷:一是过度关注短期市场波动而忽略长期趋势;二是对带来奖励和造成损失行为的奖惩相当,这并不符合投资者的损失厌恶心理。为此,借鉴行为金融学中的投资者损失厌恶理论,创新性地提出了一种多步损失厌恶(Multi-step Loss Aversion,MSLA)奖励函数,以更准确地刻画投资者在交易中的行为模式,并据此构建了在线投资组合管理策略。选取A股市场上三个具有代表性的指数,构建了相应的投资组合,在2019年至2023年的历史数据上进行了回测实验。实验结果表明,MSLA奖励函数显著提升了策略的整体性能,从累计收益率、夏普比率和最大回撤等指标来看,普遍优于现有的其他算法。此外,该策略不仅适用于不同市值大小股票组成的投资组合,而且在上涨、下跌和震荡的市场状态下均能保持稳健的性能,这充分说明了该算法在投资组合管理中的有效性和实用性。 展开更多
关键词 深度强化学习 投资组合管理 损失厌恶理论 msla奖励函数
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小直径飞行体姿态存储测试系统设计 被引量:1
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作者 陈伟平 马铁华 裴东兴 《微计算机信息》 北大核心 2008年第23期110-111,共2页
本文主要介绍了通过单片机将旋转编码器信号转换成实际的三维姿态角度信号,利用可编程逻辑器件控制闪存的存储、读数和擦除时序及数据锁存器的锁存和选通时序,最后通过软件将闪存中的数据存储到计算机中,并在软件界面显示姿态角,同时为... 本文主要介绍了通过单片机将旋转编码器信号转换成实际的三维姿态角度信号,利用可编程逻辑器件控制闪存的存储、读数和擦除时序及数据锁存器的锁存和选通时序,最后通过软件将闪存中的数据存储到计算机中,并在软件界面显示姿态角,同时为飞行体姿态解算提供准确的参数参照。 展开更多
关键词 飞行体姿态 存储测试 msla430单片机 可编程逻辑器件 闪存
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Seasonal Behaviour of Mesoscale Eddy Trajectories in the North Indian Ocean Based on Satellite Altimetry
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作者 Shailesh Mohan Pednekar 《International Journal of Geosciences》 2022年第2期93-114,共22页
In the north Indian Ocean (NIO), maps of sea level anomaly from satellite altimetry were analysed from January-1995 to December-2000. The study attempted to trace the trajectories of the individual mesoscale anomalies... In the north Indian Ocean (NIO), maps of sea level anomaly from satellite altimetry were analysed from January-1995 to December-2000. The study attempted to trace the trajectories of the individual mesoscale anomalies manually and to understand seasonal changes in terms of phase speed. Mesoscale anomalies are detected as concentric circular shapes and diameters of ~90 km to 600 km and the minimum 30 days life cycle. Relatively higher eddy kinetic energy was noticed in the northwestern region of the NIO. Individual mesoscale anomalies, namely positive (warm, anticyclonic eddies) and negative (cold, cyclonic eddies) showing travelling direction westward in the NIO basins. In autumn, the number of negative anomalies detected is more than positive anomalies and vice versa during summer. The westward propagating positive (negative) anomalies in the Arabian Sea start appearing in winter (spring) along (away from) the west coast of India and west of 65°E;individual anomalies move to the west in spring/summer/autumn and collide along Somalia’s & Arabian coast. A group of positive (negative) anomalies trajectories appears as a tail at the southern tip of India are located west of the Laccadive ridge in winter (summer to autumn) associated with LH (LL). The Bay of Bengal (BB) trajectories show southwestward in northern BB, westward in central BB and northwestward in southern BB;individual anomalies are appearing along the west coast of Andaman & Nicobar ridge. The zonal phase speed decreases away from the equator, and the magnitude varies longitudinally in each season in the form of a wave-like pattern propagating westward from autumn to summer;the life cycle of the wave is almost 365 days (a year). The theoretical phase speed of the first mode of the baroclinic Rossby waves is quite similar to that of averaged zonal speed. Therefore mesoscale anomalies (eddies) are embedded into the large waves like phenomenon (Rossby waves), responsible for creating high variability and EKE in the region of NIO along the western boundaries. 展开更多
关键词 Remote Sensing Satellite Altimetry North Indian Ocean Circulation msla Mesoscale Eddy Seasonal Variability Positive and Negative Anomalies
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