A Study on Portfolio Insurance—A Theoretical & Empirical Discussion

投资组合保险是一种动态资产配置的方法，其特点在于能够锁定风险资产组合下跌的风险，同时又保有向上获利的机会。投资组合保险策略在执行时，须在市场上涨时增加风险资产组合的投资比例，在市场下跌时减少风险资产组合的投资比例。投资组合保险策略的绩效主要取决于投资组合保险策略的选择、标的资产走势、标的资产风险系数、要保额度、投资组合保险比例、交易费率、调整法则的选用等。 本文选择复制性卖权、固定比例投资组合保险及时间不变性投资组合保险三种投资组合保险方法，并配备不同的参数设置，采用四种调整法则，通过蒙特卡罗模拟方法及对上证综合指数、深圳成份股指数的实证研究，对比分析投资组合保险策略在理想和现实状态及各种不...Portfolio insurance is a kind of dynamic asset allocation, the main goal of which is to provide downside protection for the value of stock portfolio while preserving much of the upside potential. The general principle of portfolio insurance is to increase the size of stock invested in a bull market and decrease the percentage invested in a bear market. The performance of portfolio insurance is con...学位：经济学博士院系专业：经济学院计划统计系_国民经济学学号：B20011000

以代办股份转让市场为基础发展场外交易市场

以代办股份转让市场为基础发展我国场外交易市场,在制度设计方面要在公平和效率之 间寻找到一个平衡点,设计出一个能为市场各方所接受、有利于市场发展的市场体系

发展我国股票联系票据业务初探

股票联系票据在海外得到飞速发展,主要是因为它能够适应新环境下投资者对不同风险—收益组合的金融产品的需求

Prediction of Energy Resolution in the JUNO Experiment

International audienceThis paper presents the energy resolution study in the JUNO experiment, incorporating the latest knowledge acquired during the detector construction phase. The determination of neutrino mass ordering in JUNO requires an exceptional energy resolution better than 3% at 1 MeV. To achieve this ambitious goal, significant efforts have been undertaken in the design and production of the key components of the JUNO detector. Various factors affecting the detection of inverse beta decay signals have an impact on the energy resolution, extending beyond the statistical fluctuations of the detected number of photons, such as the properties of liquid scintillator, performance of photomultiplier tubes, and the energy reconstruction algorithm. To account for these effects, a full JUNO simulation and reconstruction approach is employed. This enables the modeling of all relevant effects and the evaluation of associated inputs to accurately estimate the energy resolution. The study reveals an energy resolution of 2.95% at 1 MeV. Furthermore, the study assesses the contribution of major effects to the overall energy resolution budget. This analysis serves as a reference for interpreting future measurements of energy resolution during JUNO data taking. Moreover, it provides a guideline in comprehending the energy resolution characteristics of liquid scintillator-based detectors

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies