英国论文代写:股票的预期回报

英国论文代写:股票的预期回报

从两只股票中,Facebook的权重从0.6到0.4。亚马逊应该避免,因为回报已经是负面的,风险也很高。负回报意味着在投资这些资产之后,回报并不可行,风险和波动性也很高(Blitz,2014)。 Facebook的权重为0.4,亚马逊的权重为0.6,风险最小,为2.9%,但唯一值得关注的是投资者想要投资于任何特定股票时应该避免的预期回报(Hasan ,2012)。

英国论文代写:股票的预期回报
因此,这种组合的风险最小。最大的回报是来自facebook -0.3的权重组合,而亚马逊的权重是1.3,预期的投资组合回报率是0.8%,这是Excel表中所示组合中最高的。从最优风险投资组合的计算结果来看,Facebook的权重为0.6和0.4的亚马逊组合是目前最好的风险投资组合,如Excel表所示(Pamane,2014)。总之,可以得出结论,随着投资组合风险的增加,回报也增加,这意味着投资者需要通过投资来承担风险,因为如Excel表所示,回报随着风险而增加因此,投资者不能依靠低风险获得更高的回报,因为回报率也可能是负的,并且通过散点图(Andersen,2010)在Excel表格中清晰地显示出来。

英国论文代写:股票的预期回报

From the two stocks, the combination having a weight from 0.6 and 0.4 onwards for Facebook. Amazon should be avoided because the return is already negative and that the risk is also high. The negative return would mean that after investing in such assets, the return is not found to be viable and that the risk and volatility is also high (Blitz, 2014). The combination having a weight of 0.4 for facebook and 0.6 for Amazon has a least amount of risk i.e. of 2.9% but the only thing of concern is the expected return which should never be avoided when an investor wants to invest in any particular stock (Hasan, 2012).

英国论文代写:股票的预期回报
Therefore, this combination has the least amount of risk. The maximum return is from the combination of weight for facebook -0.3 while for Amazon having a weight of 1.3 and that an expected portfolio return is 0.8% which is the highest within the combinations shown in the excel sheet. From the calculations of optimal risky portfolio, it is found that the combination of weight for facebook being 0.6 and 0.4 for Amazon is currently the optimal risky portfolio as shown in the excel sheet as well (Pamane, 2014). To sum up, it can be concluded that as the risk for the portfolio increases, the return also increases which means that the investors are needed to take risk on this by investing because as shown in the excel sheet, the return increases with the risk and hence, the investors cannot rely on low risk and attain higher returns because the returns can go negative as well and it is clearly illustrated in the excel sheet through the scatter plot (Andersen, 2010).