个性的发现与失落--再论现代派与左翼文学的疏离与融合

现代派与左翼文学的疏离与融合既是有意识的择取更是时代规约的结果.在与左翼文学疏离的过程中,现代派找到了真正属于自己的艺术个性,而与左翼文学的融合则使其艺术个性逐渐消亡.由于现代派的渗透,左翼文学也开始反思自身的公式化、概念化弊端,在不断丰富其艺术表现手法、形式的同时获得了人性描写的深度.     

高等学校后勤物业企业人力资源管理分析

随着大学后勤社会化改革,高等学校物业企业在人力资源管理方面不符合现代企业的发展需要,对此类企业的社会化发展和市场竞争力提升都有巨大影响,因此必须参照社会物业企业,按照现代企业的要求制定符合高等学校后勤物业企业特点的人力资源管理体系。高等学校后勤物业企业人力资源普遍存在组成人员成分多样化、编制情况复杂、员工平均文化低、专业知识与专业技能缺乏、人员流动率高,人才流失严重等问题,导致人力资源管理存在劳动关系处理方式不统一、缺少完善的绩效考核体系、员工晋升机会不平等、缺乏与市场接轨的薪酬管理体系、没有系统的岗位培训体系等问题出现。高等学校后勤物业企业人力资源管理应该推进体制改革,转变人力资源管理职能,建立健全绩效考核体系,创建公平合理的员工晋升机会,建立与市场接轨的薪酬体系,形成系统的岗位培训体系。     

试论袁宏道的传记文

公安派是明代万历时期激烈抨击拟古风气的著名文学流派,它以代表作家袁宏道及其兄宗道、弟中道世居湖北公安而得名。袁氏三兄弟中,以袁宏道声名最著,文学成就最高。而在袁宏道众多的作品中,山水游记文引起了人们的注意与重视,研究者、评论者甚众。其实,他的为数不多的传记文亦颇具特色。袁宏道所作传记文只有四篇：《徐文长传》。《醉臾传》、《王氏两节妇传》和《拙效传》。在《徐文长传》这篇传记中,作者倾注了强烈的情感,使得徐文长这个做世不群,多才多艺而又一生坎坷的“奇人”形象跃然纸上。《醉臾传》的主人公是一个无名无姓…     

小组工作方法在农村留守妇女中应用优势之初探——以江苏省盐城市滨海县某村留守妇女为例

以江苏省盐城市滨海县某村留守妇女为例,研究分析农村留守妇女的生存状况、困境和需求,在此基础上,初步探讨了将社会工作的小组工作方法应用在农村留守妇女服务中所具有的优势。     

知识经济时代人才培训的新思路

人才培训工作的好坏,直接关系到企业的生存与发展,如何培养拥有一批知识经济和知识产业的专门人才是任何一个企业进入知识经济时代的首要条件。面对知识经济对人才的要求,我们应该有一种危机感、紧迫感,应结合本单位实     

无权强制除名合伙人

我与谢某等四人共同出资合伙开办了一家加工厂.不久前,谢某等四人因生意红火,利润丰厚,为能分得更多的利润,便要求我退伙.我不同意,他们即将我的投资交回我,不让我参加经营管理,强制将我除名,并称合伙是大家的事,应当少数服从多数.请问:他们的做法对吗?     

继承与超越——张爱玲对中国现代小说的贡献

张爱玲是２０世纪中国小说界一个奇异的存在。她以聪颖灵慧的禀赋和卓然独立的艺术实践，承续传统，开拓新面，在小说的心理刻画、意象经营、文体创新方面取得了突出成就，为中国现代小说实现外来文化民族化、传统文化现代化做出了自己的贡献。     

浅议如何在语文教学中落实朗读训练

本文试图探讨的是语文老师如何在课堂教学中以加强课文朗读训练为突破口,从感知到品味,最后学以致用,运用到其他文章的阅读中去,提高技师学院学生的口语技能,也就达到了教学大纲的目的要求。     

考虑组合预测股价的泛证券投资组合选择策略北大核心CSCD

Online portfolio selection is regarded as an important research issue in the field of quantitative finance, which often aims to maximize returns or risk-adjusted returns. Mean-variance model, a classic portfolio model, assumes that the returns on assets obey a certain probability distribution, which characterizes the return and risk by calculating the mean value and covariance matrix of the portfolio, respectively. However, it is difficult to accurately obtain the future return or return distribution of assets, and the only information that can be accurately grasped is historical price data. Therefore, some scholars try to use only historical information to construct portfolio strategy, so they pay more and more attention to online portfolio selection problem. The so-called “online” means that when making decisions in the current period, the updated investment proportion only depends on the historical data obtained up to the beginning of the current investment, and the cycle is carried out until the end of the whole investment. Stock price prediction based on past information is one of the key problems of online portfolio selection without statistical assumption. In this paper, historical price data are used to predict the stock prices, and then a new online portfolio selection strategy is constructed. In the first part of this paper, we design a new online portfolio selection strategy based on the predicted stock prices with the goal of maximizing expected returns. First of all, in order to minimize the influence of market outliers or white noise, we adopt multiperiod historical price information to predict the stock prices for the next period. Secondly, in order to reduce the prediction bias caused by a single prediction model, the exponential smoothing method and L1-median estimation method are combined to construct a combination forecasting model. Then, the stock estimator can be obtained based on the above-mentioned combination forecasting model. Finally, a new online portfolio selection strategy named Combination Forecasting for Exponential Gradient (CFEG) is proposed by taking the maximization of expected return as the goal and adding a penalty term into the objective function to reduce the transaction costs caused by each transaction adjustment. In the second part, the competitive ratio analysis is adopted to analyze the competitive performance of the proposed strategy theoretically, and the Best Constant Rebalanced Portfolios (BCRP) strategy is regarded as a straw man. After a series of derivations, it is proven that the average logarithmic growth rate of CFEG strategy is asymptotically consistent with that of the BCRP strategy, namely, the proposed strategy CFEG is a universal strategy. In the third part, numerical examples are conducted to test the performance of the proposed strategy in terms of final cumulative wealth, statistical t-test, Sharpe ratio, Calmar ratio, transaction cost sensitivity, and other parameter sensitivities. It is necessary to test the performance of our proposed CFEG strategy. Therefore, this paper further demonstrates the performance of CFEG through numerical experiments related to 8 real stock market datasets in China and the United States. First of all, the most important indicator to judge the performance of a strategy is its final cumulative wealth. We compare the final cumulative wealth between the CFEG strategy with 3 benchmark strategies and 6 related online strategies, and compare the difference of the average logarithmic growth rate between CFEG strategy and BCRP strategy. On 8 datasets, the final cumulative wealth of CFEG strategy is stably higher than that of all online strategies, and the difference of the average logarithmic growth rate between CFEG and BCRP is almost zero. The CFEG strategy has a good performance on the whole, and the p-value is very small on each dataset in the statistical t-test. Secondly, the Sharpe ratio and Calmar ratio of CFEG strategy are compared with other strategies. The results show that CFEG strategy can better balance the returns and risks, and obtain higher risk-adjusted returns. Since the transaction costs are an important realistic constraint, the sensitivity analysis of the transaction cost rate of CFEG strategy is carried out subsequently. Meanwhile, 4 strategies are also selected for the purpose of comparison. The results show that CFEG strategy can withstand reasonable transaction costs and still obtain high returns. Finally, we conduct the sensitivity analyses of 3 parameters included in the design of CFEG strategy. The results show that the proposed CFEG strategy is stable and insensitive to parameter selection. Although the best parameter values are not selected, the CFEG strategy maintains excellent performance. Therefore, effective parameters can be selected easily in practical applications. In conclusion, the proposed strategy CFEG is suitable for investors to make investment decisions effectively and efficiently. The CFEG strategy is able to update the investment proportion in time without the future stock price information, so as to achieve the goal of maximizing returns, and provide some guidance for online investors. © (2023). All Rights Reserved.     

论抽样调查在集体和个体商业的运用

论抽样调查在集体和个体商业的运用暨南大学林虹一、集体和个体商业统计方法改革的必要性商品流通体制改革以后，改变了市场上国营商业独家经营的状况。商业网点显著增多，特别是集体所有制商业和个体商业，如雨后春笋般的发展，使商业统计面对“汪洋大海”，工作难度明显...