Conditional variance calculations (Crypto-currency reward offered)

In summary, if you have two independent variables and you want to know the value of a third variable that is dependent on both of the other variables, you can find the value of the third variable by taking the derivative of the values of the two variables with respect to the third variable and then adding them together.
  • #1
ElMacho
2
0
I'm reading a journal article that implies the following but I can't see how it is done. I'll give 100 DogeCoin (or equivalent) to whomever can explain this in full.

Given that
V(A|B) = s
V(A) = r*s + w
B = A + C

and A & C are independent
so V(B) = V(A) + V(C) & V(C) = V(B) - V(A)

Then how can it be shown that

V(C) = [s*(r*s + w)] / [(r-1)s+w]

?
 
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  • #2
ElMacho said:
...I'll give 100 DogeCoin (or equivalent) to whomever...

Hello and welcome to MHB! :D

We are a free math help site, so it is not our policy as MHB Math Helpers in general to personally expect or accept payment for help given on our site. However, if you feel like you want to make a genuine http://mathhelpboards.com/misc.php?do=donate to MHB (in USD) for whatever reason, then we certainly would not discourage that. (Sun)
 
  • #3
MarkFL said:
Hello and welcome to MHB! :D

We are a free math help site, so it is not our policy as MHB Math Helpers in general to personally expect or accept payment for help given on our site. However, if you feel like you want to make a genuine http://mathhelpboards.com/misc.php?do=donate to MHB (in USD) for whatever reason, then we certainly would not discourage that. (Sun)

Crypto-currencies can be transferred much more easily than USD. They can easily be transferred for cash online.
 
  • #4
ElMacho said:
I'm reading a journal article that implies the following but I can't see how it is done. I'll give 100 DogeCoin (or equivalent) to whomever can explain this in full.

Given that
V(A|B) = s
V(A) = r*s + w
B = A + C

and A & C are independent
so V(B) = V(A) + V(C) & V(C) = V(B) - V(A)

Then how can it be shown that

V(C) = [s*(r*s + w)] / [(r-1)s+w]

?

Welcome to MHB, ElMacho!

By definition we have that:
$$V(A|B) = \frac{V(AB)}{V(B)} = \frac{V(A(A+C))}{V(A+C)}$$
Since $A(A+C)=A$ and $A,C$ independent, we get that:
$$V(A|B)= \frac{V(A)}{V(A)+V(C)} = \frac{rs+w}{rs+w+V(C)} = s$$
Therefore:
$$V(C)=(rs+w)\frac{1-s}s$$
This is different from the expected result, so I suspect there is some kind of typo in your problem statement...
 
  • #5


The equation V(A|B) = s can be rewritten as V(A) = s*V(B), where V(B) is the variance of B. We can then substitute this into the equation V(A) = r*s + w to get s*V(B) = r*s + w. This can be rearranged to get V(B) = (r*s + w)/s.

Next, we can use the fact that B = A + C and the fact that A and C are independent to rewrite V(B) as V(A) + V(C). We can then substitute in the value of V(A) from the previous step to get V(C) = V(B) - V(A) = [(r*s + w)/s] - r*s.

Finally, we can substitute in the value of V(B) from the previous step to get V(C) = [(r*s + w)/s] - r*s = [(r*s + w)/s] - [(r*s + w)/s] = [(r*s + w)*(r-1)]/s.

To get the final equation, we can rearrange this equation to get V(C) = [s*(r*s + w)] / [(r-1)s+w]. This shows that the variance of C is dependent on the values of s, r, and w, and can be calculated using this formula.
 

FAQ: Conditional variance calculations (Crypto-currency reward offered)

What is conditional variance?

Conditional variance is a statistical measure that calculates the variation or volatility of a variable based on certain conditions or factors. In the context of crypto-currency rewards, it refers to the change in value of the reward based on specific conditions or events.

How is conditional variance calculated in crypto-currency rewards?

Conditional variance in crypto-currency rewards is typically calculated using statistical methods such as regression analysis or time series analysis. These methods take into account various factors such as market trends, trading volume, and other variables to determine the potential variations in the reward value.

What are some factors that can affect conditional variance in crypto-currency rewards?

Some factors that can affect conditional variance in crypto-currency rewards include changes in market demand, regulatory changes, technological advancements, and overall market sentiment. Additionally, the specific conditions set by the issuer of the reward can also have an impact on its conditional variance.

Why is understanding conditional variance important in the context of crypto-currency rewards?

Understanding conditional variance in crypto-currency rewards is important because it helps investors and traders to assess the potential risks and rewards associated with a particular reward. It also allows them to make more informed decisions about when to buy, sell, or hold the reward based on its anticipated volatility.

Can conditional variance be used to predict future crypto-currency rewards?

While conditional variance can provide insights into the potential variations in a crypto-currency reward, it cannot be used as a sole predictor for future rewards. Other factors such as market trends, demand, and supply also play a significant role in determining the value of a reward. However, understanding conditional variance can be a useful tool in making informed investment decisions.

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