How to Analyze Risks in Data Analysis Assignment Using Monte Carlo Method?

How to Analyze Risks in Data Analysis Assignment Using Monte Carlo Method?

data analysis assignment writing
15 Nov 2019 2351 7 minutes

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Are you sure of waking up the next morning? No, forget tomorrow, let's talk about today itself. Are you certain that the present day will be a good, happy, and memorable one? No, why? Well, this is so because human life is uncertain. No one knows what the future has in the store for them. What is the cause of this uncertainty? Well, it is the risks in every sphere of our life. Some of these risks are capable of destroying us completely, whereas, the others do not have such a profound impact. Now, how can you stay protected from these perils? Well, the answer is simple, the only way to protect yourself is to analyze the effects they may have, well in advance, and plan your course of action accordingly.

Now, moving on to the business world. Like everything, it is also not free of risks. But, the businesspersons mitigate their impacts to some extent by analyzing them. How do they analyze them? Well, they use a method known as Monte Carlo to do it easily. Since you also require data analysis assignment writing services for the same reason, i.e., to analyze the risks, our experts decided to elaborate on this wonderful technique. Excited to get acquainted with it? Well, read the next segment of the blog carefully to know about it.

Monte Carlo: What Is It?

In the data science world, Monte Carlo refers to a risk analysis method, where the analysts analyze the impact of various factors using the mathematical concept of probability. It depends upon repeated random sampling to get the numerical result. This technique finds its use in various fields, such as engineering, law, finance, and business, etc.

Now that you know what Monte Carlo means, let’s move towards how the risks are analyzed using this amazing technique. We know the deadline is around the corner, therefore, we’ll not waste your valuable time and share the steps of using it in the next segment. Go through them with the utmost concentration. Remember, if you lose your focus even a bit, then you’ll not be able to comprehend them. And, not understanding them properly can lead to loss of grades.

How to Use the Monte Carlo Technique to Analyze Risks?

Step # 1 Discern the main risk variables:

To analyze the risks, first you must know them, right? Therefore, the analysis begins with discerning, i.e., identifying the risks that may affect you the most. As said earlier, not all the variables have equal impact, thus, you need to take account of only those risk factors that impact you more. Wondering how to segregate the risk based on effects? Well, it can be done easily by using the sensitivity and uncertainty analysis.

Step # 2 Identify the variable limits:

Now that you have discerned the key risk variables, the next step of the risk analysis process is to identify their limits. Wondering how to set the maximum and minimum limit? Well, this can be done easily with the help of available historical data. All you need to do is, have a look at it to determine the number of times these variables have occurred in the past, and then decide the range accordingly.

Step # 3 Specify the probability weights:

After identifying the limits of the variables, the third step is to specify their probability weights. It indicates the chances of recurrence of these risky variables. Pondering how to assign the weight? Well, you can easily do it by using various methods, such as normal, uniform, triangular, and step distribution. According to our experts, it is best to use any one of the first three methods as they distribute the probability symmetrically.

Step # 4 Identify the variable relationships:

You know what, some of the risk variables are interrelated and affect each other. Well, let's explain this with the help of a hypothetical situation. Imagine, an accident occurs on the road, the ambulance also arrives on the spot timely, but still, the victim does not reach the hospital timely and dies. Why? Because there was heavy traffic on the way. Now, the accident was a risk as the victim has never thought about it before stepping out of the home. Another uncertain event was congestion on the road as nobody knew it will delay the hospital reaching time. These two factors are interrelated. Similarly, while doing the assignment, you'll find many such related variables. Identify the relationship between them.

Step # 5 Do the simulation runs:

After identifying the variable relationships, this is the second last step of the risk analysis process. Now, you are required to perform the simulation runs. According to our expert academic writers, a sample range of 500-1000 is considered the ideal size. Conduct the runs with maximal caution as this step is crucial for analyzing the risks.

Step # 6 Analyze the results:

After conducting the simulation runs, celebrate. Why? Well, this is so because now you are only required to simply analyze the results. While analyzing them, focus on the probability of occurrence of various impacts that the risk variables may have. Perform this analysis with the utmost concentration, otherwise, you may make mistakes.

You may also like : Need to know the Top Algorithms of Data Structures

It is so easy to analyze the risks using the Monte Carlo technique, right? All you need to do is, implement the above-mentioned steps. In case you encounter any difficulty in their implementation or require any other assistance to complete the document, then contact our experts for the best assignment writing services without hesitating even a bit. They are the subject wizards and can guide you in the right direction.

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