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Ivan  Rodriguez

Ivan R.

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What do people in the so called blue zones (areas in the planet where there are people with longevity) do different so that they could live longer? How many hours a day do they sleep? Is 8 hours of sleep necessary , specially if your are male and training? How about exercise, how do people in these zones do exercise and In what quantity?

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Distinguish between “known risks”, “unknown risks” and “unknowable risks”. Based on the companies you selected in the previous module assignments, provide an example of each. This is in the context of company financial risk management. Why is it important to know to distinguish among them? The companies that we are analyzing are bookstores: Barnes & Noble, Pearson Education Inc. and John Wiley and Sons.

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\begin{tabular}{|c|c|} \hline Lues & \\ \hline Beta & 1.48593777681193 \\ \hline ES95 & 0.229703928664163 \\ \hline ES99 & 0.229703928664163 \\ \hline ES99_Emp & 0.229703928664163 \\ \hline ES99_Norm & 0.394743329454835 \\ \hline & -0.0405120098260071 \\ \hline n & \( 10 \mathrm{~L} \) \\ \hline p & -1.95996398454005 \\ \hline Pa_daily_wide_ts & 'zoo' num [1:2516, 1:3] NA NA NA NA NA NA NA NA NA NA .... \\ \hline R & -0.15 \\ \hline Ra_yearly_weights & Named num \( [1: 3] \quad 0.3330 .3330 .333 \) \\ \hline Ra_yearly_wide_ts & 'zoo' num \( [1: 10,1: 3] \) NA \( -0.3250 .153-0.282-0.513 \ldots \) \\ \hline Rb_yearly_ts & 'zoo' num [1:10] 0.12387 -0.00727 0.095350 .1942 -0.062... \\ \hline \( \mathrm{Rf} \) & 0.03 \\ \hline \( \mathrm{Rm} \) & 0.147 \\ \hline \( \mathrm{s} \) & 0.163309701696087 \\ \hline Sm & 0.1215 \\ \hline times & Date[1:10], format: "2014-12-31" "2015-12-31" "2016-12-... \\ \hline VaR95 & Named num 0.183 \\ \hline VaR99 & Named num 0.22 \\ \hline VaR99_BT_Exp & 0 \\ \hline VaR99_BT_Obs & \( 0 \mathrm{~L} \) \\ \hline VaR99_Emp & Named num 0.22 \\ \hline VaR99_Norm & 0.339403167524928 \\ \hline \( \mathrm{x} \) & int [1:10] 12345678910 \\ \hline \( \mathrm{y} \) & num \( [1: 10]-0.537-0.1834-0.2076 \quad 0.2866 \quad 0.0652 \) \\ \hline yearly_Ret_ts & 'zoo' num [1:10, 1:5] NA -0.325 \( 0.153-0.282-0.513 \) \\ \hline \end{tabular}

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Distinguish between “Enterprise Risk Management” (ERM) and more traditional approaches to risk management. Present at least three differences. In case of bookstores like Pearson Education Inc and Barnes & Noble, how it could be applied?

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An organization's risk culture should direct it to consider both the long-term implications of its decisions and the short-term gains. Discuss this assertion and provide an example based on one of the selected companies. In this case: The company Barnes & Noble.

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Interpret and compare the VaR95 estimate for each of the three companies with the historical method. What is the historical method regarding Value at Risk (VAR) and Risk management.

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The Sun City police maintenance department uses about 200 patrol car tires per month. Each tire costs $80 and the holding cost rate is 35%. The ordering costs are estimated at $185 per order. The supplier takes a week to deliver the tires (1/4 month). They currently order 600 tires per order. 1. What is the reorder point based on the supplier’s lead time? 2. What is the cost of their current inventory policy? 3. What is the optimal ordering policy based on EOQ? 4. What is the cost of the EOQ based policy?

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What can you tell in overall given the following information about the companies: Barnes & Noble, Pearson and Wiley? which are their strengths and which are their weaknesses? Which one is better?: To evaluate the financial health of the three companies with the data analyzed so far: First of all we have the averages, higher averages (mean) are generally better, they indicate profitability. Secondly we have the standard deviation. A lower standard deviation suggests stability in performance. Thirdly, asymmetry or “Skewness”. Skewness close to zero is ideal, extreme values ​​indicate skewness in the data. Lastly, kurtosis. A lower kurtosis (closer to 3) is preferable for financial returns as it indicates fewer outliers and less extreme risk. Summarizing our analysis we can say that Pearson appears to be the healthiest financially among the three companies with a mean positive, a lower standard deviation, and moderate skewness and kurtosis. Barnes & Noble shows higher risk with higher standard deviation and significant right skew. Finally we have John Wiley and Sons which could be concerning due to its negative mean and left skew, despite having a low standard deviation. Systemic risk is primarily indicated by Beta and R-squared values: When we look at Barnes & Noble's data, it has the highest systemic risk due to its high Beta, which indicates significant volatility compared to the market. However, its low R-squared suggests that its price movements are not closely linked to market movements. In the case of Person, it has the lowest systemic risk, with the lowest Beta, indicating much lower volatility. Its low R-squared further suggests a low correlation with market movements. Meanwhile, Wiley has moderate systemic risk, with its Beta close to 1, suggesting its volatility is similar to that of the market. We can say that when comparing the systemic risk of the three companies, Barnes & Noble bookstore exhibits the highest systemic risk due to its higher Beta values. Pearson shows the lowest systemic risk: Pearson has a significantly lower Beta. Wiley has moderate systemic risk, with its Beta measure close to the market average.

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What are portfolios in finance and companies statistics? What do they help us to learn from the companies performance? for what are they used for?

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How could we compare the companies in the term of their basic statistics: average and standard deviation? what does their results mean truly if we are to compare them in terms of financially healthy?:Statistic BNED PSO WLY Observations 1509 1509 1509 NAS 0 0 Minimum -0.3216 -0.1472 -0.1735 Quartile 1 -0.0264 -0.0086 -0.0096 Median 0 0.0006 Arithmetic Me 0.0002 0.0005 -0.0001 Geometric Me -0.0012 0.0003 -0.0004 Quartile 3 0.0242 0.0096 0.0102 Maximum 0.4076 0.1772 0.1375 SE Mean 0.0014 0.0006 0.0005 LCL Mean (0.9 -0.0024 -0.0006 -0.0012 UCL Mean (0.5 0.0029 0.0016 0.0009 Variance 0.0028 0.0005 0.0005 Stdev 0.0527 0.0218 0.0213 Skewness 0.4728 0.3324 -0.7822 Kurtosis 8.716 12.2662 10.3233

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