衡量和管理投资风险.doc
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1、精品文档就在这里-各类专业好文档,值得你下载,教育,管理,论文,制度,方案手册,应有尽有-Measuring And Managing Investment Risk 衡量和管理投资风险by Katrina Lamb,CFA Filed Under: Financial Theory 提起下:金融理论We tend to think of risk in predominantly negative terms, as something to be avoided or a threat that we hope wont materialize. In the investment wor
2、ld, however, risk is inseparable from performance and, rather than being desirable or undesirable, is simply necessary. Understanding risk is one of the most important parts of a financial education.This article will examine ways that we measure and manage risk in making investment decisions. 我们倾向于对
3、“风险主要是负面的”,想的东西要避免或威胁,我们希望将无法实现。在投资世界,然而,风险是不可分割,从性能,而不是理想或不理想,只是必要的。理解风险是一个金融教育最重要的组成部分之一。本文将探讨如何衡量和管理,我们在作出投资决定的风险。Risk- Good, Bad and Necessary 风险 - 好的,坏的和必要的A common definition for investment risk is deviation from an expected outcome. We can express this in absolute terms or relative to somethi
4、ng else like a market benchmark.That deviation can be positive or negative, and relates to the idea ofno pain, no gain -to achieve higher returns in the long run you have to accept more short-term volatility.How much volatility depends on your risk tolerance - an expression of the capacity to assume
5、 volatility based on specific financial circumstances and the propensity to do so, taking into account your psychological comfort with uncertainty and the possibility of incurring large short-term losses. (To learn more, read Determining Risk And The Risk Pyramid and Personalizing Risk Tolerance.)投资
6、风险的一个共同的定义是偏离了预期的结果。我们可以表达绝对或相对的东西像其他这个市场基准。这种偏差可正可负,涉及到“无痛苦的想法,一分收获” - 以实现更高的回报,长远来说你必须接受更多的短期波动。波动多少取决于你的风险承受能力 - 1表达的能力,以承担具体的财务情况和倾向,这样做的波动,同时考虑到不确定性和承受大的短期损失的可能性你的心理安慰(要了解更多信息,请参阅确定风险和风险金字塔和个性化的风险性)Absolute Measures of Risk 绝对风险的措施One of the most commonly used absolute risk metrics is standard
7、deviation, a statistical measure of dispersion around a central tendency. For example, during a 15-year period from August 1, 1992, to July 31, 2007, the average annualized total return of the S&P 500 Stock Index was 10.7%. This number tells you what happened for the whole period, but it doesnt say
8、what happened along the way.最常用的指标之一,是绝对风险的标准差,分散围绕一个中心趋势的统计方法。例如,在从1992年8月1日15年期间,到2007年7月31日,平均按年的标准普尔500股票指数的总回报为10.7。这个数字告诉你整个期间发生的,但它没有说什么前进的道路上发生的事情。The average standard deviation of the S&P 500 for that same period was 13.5%.Statistical theory tells us that in normal distributions (the famili
9、ar bell-shaped curve) any given outcome should fall within one standard deviation of the mean about 67% of the time and within two standard deviations about 95% of the time. Thus, an S&P 500 investor could expect the return at any given point during this time to be 10.7% +/- 13.5% just under 70% of
10、the time and +/- 27.0% 95% of the time. (For more insight, read The Uses And Limits Of Volatility.) 平均标准普尔500指数的标准差为同一时期的13.5。统计理论告诉我们,在(熟悉的钟形曲线)任何特定的结果应该在一个正态分布的标准差平均下降约67的时间和大约95的时间在两个标准差。因此,标准普尔500指数的投资者可以指望在这段时间,在任何给定点的回报是10.7+ / - 13.5,略低于70的时间和+ / - 27.0,95的时间(如需更多了解,请阅读波动的用途和限制)Risk and Psych
11、ology 风险与心理While that information may be helpful, it does not fully address an investors risk concerns. The field of behavioral finance has contributed an important element to the risk equation, demonstrating asymmetry between how people view gains and losses. In the language of prospect theory, an
12、area of behavioral finance introduced by Amos Tversky and Daniel Kahneman in 1979, investors exhibit loss aversion- they put more weight on the pain associated with a loss than the good feeling associated with a gain. (For more on this, read Behavioral Finance: Prospect Theory.) 尽管这些信息可能是有益的,它不能完全解决
13、投资者的风险担忧。行为金融学领域的一个重要因素促成的风险方程,展示与人们之间的收益和损失的不对称性。在展望理论,是在1979年推出阿莫斯Tversky和丹尼尔卡尼曼,投资者表现出损失厌恶 - 他们放在同一个比一个增益相关的好感损失所带来的痛苦更重行为金融学领域的语言(有关此,请阅读行为金融:展望理论。)Thus, what investors really want to know is not just how much an asset deviates from its expected outcome, but how bad things look way down on the l
14、eft-hand tail of the distribution curve. Value at risk (VAR)attempts to provide an answer to this question.The idea behind VAR is to quantify how bad a loss on an investment could be with a given level of confidence over a defined period of time. For example, the following statement would be an exam
15、ple of VAR:With about a 95% level of confidence, the most you stand to lose on this $1,000 investment over a two-year time horizon is $200.The confidence level is a probability statement based on the statistical characteristics of the investment and the shape of its distribution curve. (To learn mor
16、e, read Introduction to Value At Risk - Part 1 and Part 2.)因此,投资者真正想知道的是没有多少资产背离了其预期的结果,而是如何一路看坏的东西就分布曲线的左侧尾部。在风险值(VaR)试图提供一个对这个问题的答案。 VAR的背后想法是多么坏的一个量化的投资损失可能超过了规定的时间内一定程度的信心。例如,下面的语句将是VAR的例子:“拥有约95的信心水平,你最会失去这对一个为期两年的时间跨度1000美元的投资为200元。”的信心水平是一个概率声明对投资的统计特性的基础和它的分布曲线的形状。 (要了解更多,请阅读介绍风险值 - 第1和第2部分。
17、)Of course, even a measure like VAR doesnt guarantee that things wont be worse. Spectacular debacles like hedge fund Long Term Capital Management in 1998 remind us that so-called outlier events may occur. After all, 95% confidence allows that 5% of the time results may be much worse than what VAR ca
18、lculates. In the case of LTCM, the outlier event was the Russian governments default on its outstanding sovereign debt obligations, an event that caused the hedge funds performance to be much worse than its expected value at risk. (To learn about LTCM and other similar events, read Massive Hedge Fun
19、d Failures.) 当然,即使是像VAR的措施并不能保证事情不会更糟。像对冲基金长期资本管理公司在1998年惊人失败提醒我们,所谓的“异常事件”可能会发生。毕竟,95的信心可以有5的时间结果可能远不如什么VAR的计算。在长期资本管理公司的情况下,异常事件是俄罗斯政府在其出色的主权债务,一个事件,造成对冲基金的表现会比默认的风险预期值差。 (要对长期资本管理公司和其他类似的事件中汲取经验,阅读大量对冲基金的破产。)Another risk measure oriented to behavioral tendencies is drawdown, which refers to any p
20、eriod during which an assets return is negative relative to a previous high mark. In measuring drawdown, we attempt to address three things: the magnitude of each negative period (how bad), the duration of each (how long) and the frequency (how many times).另一个风险措施的行为倾向是面向缩编,是指任何期间资产的回报为负相对于以前的高分。在衡量
21、缩编,我们试图解决三件事情:每个负面期间(有多坏)的规模,持续时间每个(多久)和频率(多少次)。Risk: The Passive and the Active 风险:被动与主动In addition to wanting to know, for example, whether a mutual fund beat the S&P 500 we also want to know how comparatively risky it was. One measure for this is beta, based on the statistical property of covaria
22、nce and also called market risk, systematic risk, or non-diversifiable risk. A beta greater than 1 indicates more risk than the market and vice versa. (For further reading, see Beta: Know The Risk.)除了想知道,例如,无论是共同基金击败了标准普尔500指数,我们也想知道它是如何风险相对较高。其中一项措施,因为这是测试版,基于协方差的统计特性,也称为“市场风险”,“系统性风险”,或“不可分散的风险。”一
23、个大于1的测试显示超过市场的风险和副反之亦然。 (进一步阅读,看到测试:认识的风险。)Beta helps us to understand the concepts of passive and active risk. The graph below shows a time series of returns (each data point labeled +) for a particular portfolio R(p) versus the market return R(m). The returns are cash-adjusted, so the point at whi
24、ch the x and y axes intersect is the cash-equivalent return. Drawing a line of best fit through the data points allows us to quantify the passive, or beta, risk and the active risk, which we refer to as alpha.测试有助于我们了解被动和积极的风险的概念。下图显示了返回的时间序列(每个数据点标有“+”)为特定的资产组合住宅(规划)与市场回报住宅(米)。回报是现金调整,因此该点x和y轴相交是现金
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- 衡量 管理 投资 风险
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