# Calculation of go options

Implied volatility Video transcript Voiceover: We're now gonna talk about probably the most famous formula in all of finance, and that's the Black-Scholes Formula, sometimes called the Black-Scholes-Merton Formula, and it's named after these gentlemen. This right over here is Fischer Black. This is Myron Scholes. They really laid the foundation for what led to the Black-Scholes Model and the Black-Scholes Formula and that's why it has their name.

This is Bob Merton, who really took what Black-Scholes did and took it to another level to really get to our modern interpretations of the Black-Scholes Model and the Black-Scholes Formula.

### Using a scientific calculator

All three of these gentlemen would have won the Nobel Prize in Economics, except for the unfortunate fact that Fischer Black passed away before the award was given, but Myron Scholes and Bob Merton did get the Nobel Prize for their work. The reason why this is such a big deal, why it is Nobel Prize worthy, and, actually, there's many reasons.

I could do a calculation of go options series of videos on that, is that people have been trading stock options, or they've been trading options for a very, very, very long time. They had been trading them, they had been buying them, they had been selling them.

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It was a major part calculation of go options financial markets already, but there was no really good way of putting our mathematical minds around how to value an option. People had a sense of the things that they cared about, and I would assume especially options traders had a sense of the things that they cared about when they were trading options, but we really didn't have an analytical framework for it, and that's what corsa capital binary options Black-Scholes Formula gave us.

Let's just, before we dive into this seemingly hairy formula, but the more we talk about it, hopefully it'll start to seem a lot friendlier than it looks right now. Let's calculation of go options to get an intuition for the things that we would care about if we were thinking about the price of a stock option. You would care about the stock price. You would care about the exercise calculation of go options. You would especially care about how much higher or lower the stock price is relative to the exercise price.

You would care about the risk-free interest rate. The risk-free interest rate keeps showing up when we think about taking a present value of something, If we want to discount the value of something back to today. You would, of course, think about how long do I have to actually exercise this option?

### Binomial Option Pricing Model

Finally, this might look a little bit bizarre at first, but we'll talk about it in a second. You would care about how volatile that stock is, and we measure volatility as a standard deviation of log returns for that security.

That seems very fancy, and we'll talk about that in more depth in future videos, but at just an intuitive level, just think about 2 stocks. So let's say that this is stock 1 right over here, and it jumps around, and I'll make them go flat, just so we make no judgment calculation of go options whether it's a good investment.

You have one stock that kind of does that, and then you have another stock. Actually, I'll draw them on the same, so let's say that is stock 1, and then you have a stock 2 that does this, it jumps around all over the place. So this green one mobile internet earnings over here is stock 2. You could imagine stock 2 just in the way we use the word 'volatile' is calculation of go options volatile. It's a wilder ride.

Also, if you were looking at how dispersed the returns are away from their mean, you see it has, the returns have more dispersion.

## Options probability calculator excel

It'll have a higher standard deviation. So, stock 2 will have a higher volatility, or a higher standard deviation of logarithmic returns, and in a future video, we'll talk about why we care about log returns, Stock 1 would have a lower volatility, so you can imagine, options are more valuable when you're dealing with, or if you're dealing with a stock that has higher volatility, that has higher sigma like this, this feels like it would drive the value of an option up.

You would rather have an option when you have something like this, because, look, if you're owning the stock, man, you have to go calculation of go options, this is a wild ride, but if you have the option, you could ignore the wildness, and then it might actually make, and then you could exercise the option if it seems like the right time to do it. So it feels like, if you were just trading it, that the more volatile something is, the more valuable an option calculation of go options be on that.

Now that we've talked about this, let's actually look at the Black-Scholes Formula. The variety that I have right over here, this is for a European call option. We could do something very similar for a European put option, so this is right over here is a European call option, and remember, European call option, it's mathematically simpler than an American call option in that there's only one time at which you can exercise it on the exercise date.

On an American call option, you can exercise it an any point.

As a result, time value is often referred to as an option's extrinsic value since time value is the amount by which the price of an option exceeds the intrinsic value. Time value is essentially the risk premium the option seller requires to provide the option buyer the right to buy or sell the stock up to the date the option expires. Typically, stocks with high volatility have a higher probability for the option to be profitable or in-the-money by expiry. As a result, the time value—as a component of the option's premium—is typically higher to compensate for the increased chance that the stock's price could move beyond the strike price and expire in-the-money. For stocks that are not expected to move much, the option's time value will be relatively low.

With that said, let's try to at least intuitively dissect the Black-Scholes Formula a little bit. So the first thing you have here, you have this term that involved the current stock price, and then you're multiplying it times this function that's taking this as an input, and this as how we define that input, and then you have minus the exercise price discounted back, this discounts back the exercise price, times that function again, and now that input is slightly different into that function.

Just so that we have a little bit of background about what this function N is, N is the cumulative distribution function for a standard, normal distribution. I know that seems, might seem a little bit daunting, but you can look at the statistics playlist, and it shouldn't be that bad. This is essentially saying for a standard, normal distribution, the probability calculation of go options your random variable is less than or equal to x, calculation of go options another way of thinking about that, if that sounds a little, and it's all explained in our statistics play list if that was confusing, but if you want to think about it a little bit mathematically, you also know that this is going to be, it's a probability.

The binomial option pricing model is an options valuation method developed in The binomial option pricing model uses an iterative procedure, allowing for the specification of nodes, or points in time, during the time span between the valuation date and the option's expiration date. Key Takeaways The binomial option pricing model values options using an iterative approach utilizing multiple periods to value American options. With calculation of go options model, there are two possible outcomes with each iteration—a move up or a move down that follow a binomial tree. The model is intuitive and is used more frequently in practice than the well-known Black-Scholes model.

It's always going to be greater than zero, and it is going to be less than one. With that out of the way, let's think about what these pieces are telling us. This, right over here, is dealing with, it's the current stock price, and it's being weighted calculation of go options some type of a probability, and so this is, essentially, one way of thinking about it, in very rough terms, is this is what you're gonna get.

You're gonna get the stock, and it's kind of being weighted by the probability that you're actually half bitcoin to do this thing, and I'm speaking in very rough terms, and then this term right over here is what you pay.

This is what you pay. This is your exercise price discounted back, somewhat being weighted, and I'm speaking, once again, I'm hand-weaving a lot of the mathematics, by like are we actually going to do this thing? Are we actually going to exercise our option? That makes sense right over there, and it makes sense if the stock price calculation of go options worth a lot more than the exercise price, and if we're definitely going to do this, let's say that D1 and D2 are very, very large numbers, we're definitely going to do this at some point in time, that it makes sense that the value of the call option would be the value of the stock minus the exercise price discounted back to today.

This right over here, this is the discounting, kind of giving us the present value of the calculation of go options price.

We have videos on discounting and present value, if you find that a little bit daunting. It also makes sense that the more, the higher the stock price is, so we see that right over here, relative to the exercise price, the more that the option would be worth, it also makes sense that the higher the stock price relative to the exercise price, the more likely that we will actually exercise the option. You see that in both of these terms right over here.

You have the ratio of the stock price to the exercise price. A ratio of the stock price to the exercise price. We're taking a natural log of it, but the higher this ratio is, the larger D1 or D2 is, so that means the earnings calculation of go options the Internet with instant withdrawal the input into the cumulative distribution function is, which means the higher probabilities we're gonna get, and so it's a higher chance we're gonna exercise this price, and it makes sense that then this is actually going to have some value.

So that makes sense, the relationship between the stock price and the exercise price. The other thing I will focus on, because this tends to be a deep focus of people who operate with options, is the volatility. We already had an intuition, that the higher the volatility, the higher the option price, so let's see where this factors into this equation, here. We don't see it at this first level, but it definitely factors into D1 and D2.

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In D1, the higher your standard deviation of your log returns, so the higher sigma, we have a sigma in the numerator and the denominator, but in the numerator, we're squaring it. So a higher sigma will make D1 go up, so sigma goes up, D1 will go up. Let's think about what's happening here.

Well, here we have a sigma.

It's still squared. It's in the numerator, but we're subtracting it. This is going to grow faster than this, but we're subtracting it now, so for D2, a higher sigma is going to make D2 go down because we are subtracting it. This will actually make, can we actually say this is going to make, a higher sigma's going to make the value of our call option higher.

Well, let's look at it.

## Introduction to the Black-Scholes formula

If the value of our sigma goes up, then D1 will go up, then this input, this input goes up. If that input goes up, our cumulative distribution function of that input is going to go up, and so this term, this whole term is gonna drive this whole term up.

Now, what's going to happen here. Well, if D2 goes down, then our cumulative calculation of go options function evaluated there is going to go down, and so this whole thing is going to be lower and so we're going to have to pay less.

If we get more and pay less, and I'm speaking in very hand-wavy terms, but this is just to understand that this is as intuitively daunting as you might think, but it looks definitively, that if the standard deviation, if the standard deviation of our log returns or if our volatility goes up, the value of our call option, the value of our European call option goes up.

Likewise, using the same logic, if our volatility were to be lower, then the value of our call option would go down. I'll leave you there. In future videos, we'll think about this in a little bit more depth.