浅谈财产保险公司的财务特点

当前,经济水平在快速发展之中,我国居民和企业对保险行业的需求也在不断增加。新时期,国家涌现出了很多保险公司,保险公司数量的增多有效的促进了整个保险行业的发展。然而,关于保险公司的财务管理还存在问题。笔者作为保险公司的一名财产保险公司的财务工作人员,对财产保险公司的财务特点进行了分析,希望能够对我国保险行业的发展起到一定的促进和激励作用。     

对银行入股保险公司相关问题的思考

最近政府放宽了对银行入股保险公司的限制,这表明我国银行保险的合作取得了突破性的进展。本文分析了银行入股保险公司的两个层面的动机;同时,也从多个角度对银行入股对保险公司乃至整个保险行业产生的影响进行了分析;最后,提出了银行保险合作模式的选择和相关建议。     

金融危机对海南省保险业的影响及对策建议

2007年的美国次贷危机,已逐渐演变成为世界性的金融危机。在全球金融市场持续动荡、金融危机迅速蔓延的情况下,我国保险业也无法独善其身,面临着重大挑战。本文对近几年中国保险行业的权威统计数据进行了研究分析,并结合几大保险公司的财务报表及目前保险市场的现状,总结出我国保险业受金融危机影响的主要表现。同时,结合海南省的基本情况,深入分析了金融危机对海南省保险业的影响,并提出了应对危机的几点对策建议。     

试析"营改增"对保险公司绩效和经营模式的影响

为促进我国社会主义市场经济的平稳较快发展,尽量减少税制差异,逐步落实结构性减税措施,我国于十二五期间提出并实行了营改增这一重要政策.营改增,即营业税改征增值税,它不仅是对我国税法的进一步完善更是对我国税制进行结构性调整的重要举措.随着近年来营改增的持续进行,试点范围逐步扩大到各行各业.其中保险行业是影响我国经济发展的重要产业,由于保险行业的大量资金货币流动,若将营业税改征增值税,便可在很大程度上减轻保险公司的成本负担,降低其经营风险,故营改增势必对保险行业造成深远的影响.本论文首先阐述了保险公司进行营改增的难点与挑战,然后分别从绩效和经营模式两个方面细致分析和讨论了营改增对保险公司的影响.     

国际保险集团业务多元化对我国保险公司的启示

<正>近年来我国保险公司业务多元化的发展趋势明显。法国安盛集团、美国国际集团、德国安联集团、荷兰国际集团等大型保险集团业务多元化的发展历程可以带给我们很多启示。保险行业分业经营与保险公司业务多元化受宏观经济增长、保险市场发展、政策变迁以及公司特征等多方面因素的影响，伴随保险行业的发展，我国保险公司业务多元化趋势明显。保险业多元化可以看成金融混业经营的一部分，和整个金融行业相似，保险行业也存在着分业经营和混业经营两种模式。     

保险公司IT竞争策略研究

本文首先分析了IT应用对保险行业五力模型、保险公司价值链和价值系统的影响,进而推导出保险公司IT竞争的一般性策略.本文旨在为保险公司的经营管理者在信息化环境下开展IT竞争和IT投资决策,提供新的视角和启发.     

保险市场费率竞争成因和防范对策

随着保险市场主体的迅速增加和保险市场供求关系的不断变化,保险费率的竞争成为保险市场竞争的主要焦点之一,但费率的竞争必须遵循价值规律,否则保险公司将会出现偿付能力的危机,因此防范和化解费率的恶性竞争对保险行业的稳健发展至关重要。     

新保险合同准则对保险公司影响探析

新保险合同准则实施已有数年,本文分析了新旧保险合同准则的差异点,通过解构新准则下的利润表,建立新准则下财务结果与经营管理之间的关系模型,探讨新准则对保险公司经营管理的影响,并对新准则的实施提出相应建议,以期助力保险公司更好地理解新准则背后的底层逻辑,推动新准则在保险行业的落地与实施,并促进保险行业高质量发展。     

利率提高预期对中国保险业发展的影响

利率的提高对中国整个金融市场带来很大的影响,国家2008年从紧的货币政策格局也使得利率这个宏观经济分析的重要指标变得格外显眼。那么利率的提高对我国保险行业,尤其是我国寿险行业有哪些影响呢?本文主要分析了利率提高后对保险公司的正面影响和负面影响,进而提出对我国保险行业发展的建议。     

基于大数据征信的保险行业发展研究

近年来,以大数据为代表的数字化技术的发展,正在加速影响着保险行业的日常运作,特别是各种移动终端的运用使得保险公司能实时、准确地掌握保险标的的风险状况,从而彻底颠覆保险经营方式。本文主要概述了目前保险行业发展瓶颈,并结合大数据征信在保险行业应用的优势,为保险行业的发展提供可行性建议。     

A Multivariate Test of a Dual-Beta CAPM: Australian Evidence

I apply a multivariate one‐step testing procedure to investigate a dual‐beta CAPM. I begin by establishing that there is no statistical relation between beta and returns for the standard CAPM. I then re‐cast the one‐step test to accommodate a dual‐beta CAPM under bull and bear market conditions. When the excess market return is negative (positive), I find strong evidence of a negative (positive) relation between beta and returns. The strength of my results suggests that the success of the model is not crucially dependent on the argument for beta instability.     

Adjusted accounting beta,operating leverage and financial leverage as determinants of market beta: A synthesis and empirical evaluation

This article reexamines and synthesizes two streams of research dealing with the relationship between market beta and accounting risk measures. It is shown that, with some minor rearrangement the Mandelker and Rhee (1984) model can be shown to be as a decomposition of the familiar accounting beta (Beaver, Kettler and Scholes 1970) into operating leverage, financial leverage, and an adjusted accounting beta. The adjusted accounting beta can be further decomposed into productivity gains and the relative cyclical sensitivity of the accounting flows of the firm. Empirical estimates of this extension made using three accounting flow measures in addition to earnings show that the intrinsic business risk factor not identified in the original Mandelker and Rhee model is the most significant explanatory factor related to market beta.     

Time-varying Beta Risk for Australian Industry Portfolios: An Exploratory Analysis

The central focus of this paper is to provide an initial exploratory examination of ex post time-varying beta estimation, modeling and asset pricing tests. In particular, these issues are investigated using a sample of monthly data on Australian industry portfolios over the nineteen-year period 1974 to 1992. While primarily illustrative in nature, the industry betas are modeled, estimated and tested with reasonable success in terms of regimes related to periods of regulation/deregulation/imputation; the level of market returns; and a measure of volatility on the risk-free rate of interest. However, univariate and multivariate tests reported in the paper provided mixed evidence concerning the applicability of a time-varying beta CAPM, that incorporates these variables.     

Country world betas: The link between the stock market beta and macroeconomic beta

We assess the connection between stock market linkages and macroeconomic linkages by using a world index model. Specifically, we test the association between the stock market beta (the sensitivity of country stock market index to world index) and macroeconomic betas (the sensitivity of national output and inflation to world output and inflation). Output betas account for about 20–26% of the cross-section of stock market betas. Controlling for previously-documented factors affecting stock market comovements: world output volatility is somewhat significant, while inflation betas, trade openness and world stock market volatility are insignificant in accounting for variation in stock market betas.     

Is Beta Dead or Alive?

The debate about whether beta is dead or alive has heated up once again. We believe the empirical work supporting either side of the argument is limited because market frictions are not adequately addressed. This study clarifies the controversy about the issue by creating a new moving-average beta and analyzing two market anomalies: the turn-of-the-year and the Monday effects. What is discovered in this research is (1) that a fundamental source of the problem underlying the two types of market anomalies is the persistence of market frictions that retard the arbitrage process; (2) that beta is seriously ill if the effects of market frictions are ignored; and (3) that beta is alive and well if the effects of market frictions are accommodated. Also, we show, by using an optimal lead/lag structure, the moving-average beta provides significantly higher explanatory power for the turn-of the-year and the Monday effects than betas created from ordinary least squares regression and Scholes-Williams and Fama-French methods because the moving-average beta accommodates the effects of market frictions into the body of beta itself. This new type of beta, a moving-average beta, is demonstrated to be robust.     

Is Beta Dead or Alive?

The debate about whether beta is dead or alive has heated up once again. We believe the empirical work supporting either side of the argument is limited because market frictions are not adequately addressed. This study clarifies the controversy about the issue by creating a new moving-average beta and analyzing two market anomalies: the turn-of-the-year and the Monday effects. What is discovered in this research is (1) that a fundamental source of the problem underlying the two types of market anomalies is the persistence of market frictions that retard the arbitrage process; (2) that beta is seriously ill if the effects of market frictions are ignored; and (3) that beta is alive and well if the effects of market frictions are accommodated. Also, we show, by using an optimal lead/lag structure, the moving-average beta provides significantly higher explanatory power for the turn-of the-year and the Monday effects than betas created from ordinary least squares regression and Scholes-Williams and Fama-French methods because the moving-average beta accommodates the effects of market frictions into the body of beta itself. This new type of beta, a moving-average beta, is demonstrated to be robust.     

中国能源利用效率β收敛性的区域研究

在生产理论框架下,构建投入导向、规模报酬不变的超效率DEA模型,利用全国30个省市(不含西藏)2000-2014年数据测度出我国八大经济区域的全要素能源效率,并建立收敛回归模型对八大区域能源利用效率进行β收敛检验.分析发现:我国能源利用效率呈现出"一降两波动一稳、总体上升"的态势,且存在绝对β收敛和条件β收敛.分地区来看,黄河中游地区、长江中游地区和西南地区通过绝对β收敛检验,且收敛速度高出全国水平;北部沿海地区各省市能源利用效率差异在增加.对条件β收敛而言,除南部沿海地区在产业结构作用下和西北地区在技术进步作用下条件β收敛系数不显著,其他各区域在技术进步、产业结构和对外开放程度的作用下均存在条件β收敛.     

Time Varying Beta Risk: An Analysis of Alternative Modelling Techniques

This paper investigates the performance of three different approaches to modelling time-variation in conditional asset betas: GARCH models, the extended market model of Schwert and Seguin (1990) and the Kalman Filter algorithm. Using daily UK industry returns, we find the simple market model beta to be as efficient as the more complicated GARCH type models. However, the Kalman Filter algorithm incorporating a random walk parameterisation dominates all other models under the mean-square error criterion. Finally, we provide strong evidence that a combination of the methods under investigation may lead to considerably more powerful estimators of the time-variation in conditional beta.     

Alpha or beta in the eye of the beholder: What drives hedge fund flows?

Capital Asset Pricing Model (CAPM) alpha explains hedge fund flows better than alphas from more sophisticated models. This suggests that investors pool together sophisticated model alpha with returns from exposures to traditional (except for the market) and exotic risks. We decompose performance into traditional and exotic risk components and find that while investors chase both components, they place greater relative emphasis on returns associated with exotic risk exposures that can only be obtained through hedge funds. However, we find little evidence of persistence in performance from traditional or exotic risks, which cautions against investors’ practice of seeking out risk exposures following periods of recent success.