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  2. Margrabe's formula - Wikipedia

    en.wikipedia.org/wiki/Margrabe's_formula

    The formula is quickly proven by reducing the situation to one where we can apply the Black-Scholes formula. First, consider both assets as priced in units of S 2 (this is called 'using S 2 as numeraire'); this means that a unit of the first asset now is worth S 1 /S 2 units of the second asset, and a unit of the second asset is worth 1.

  3. Historical simulation (finance) - Wikipedia

    en.wikipedia.org/wiki/Historical_simulation...

    Historical simulation in finance's value at risk (VaR) analysis is a procedure for predicting the value at risk by 'simulating' or constructing the cumulative distribution function (CDF) of assets returns over time assuming that future returns will be directly sampled from past returns.

  4. Market data - Wikipedia

    en.wikipedia.org/wiki/Market_data

    Market data allows traders and investors to know the latest price and see historical trends for instruments such as equities, fixed-income products, derivatives, and currencies. [ 1 ] The market data for a particular instrument would include the identifier of the instrument and where it was traded such as the ticker symbol and exchange code ...

  5. Black–Scholes model - Wikipedia

    en.wikipedia.org/wiki/Black–Scholes_model

    From the parabolic partial differential equation in the model, known as the Black–Scholes equation, one can deduce the Black–Scholes formula, which gives a theoretical estimate of the price of European-style options and shows that the option has a unique price given the risk of the security and its expected return (instead replacing the ...

  6. Black model - Wikipedia

    en.wikipedia.org/wiki/Black_model

    The Black formula is similar to the Black–Scholes formula for valuing stock options except that the spot price of the underlying is replaced by a discounted futures price F. Suppose there is constant risk-free interest rate r and the futures price F(t) of a particular underlying is log-normal with constant volatility σ.

  7. Bollinger Bands - Wikipedia

    en.wikipedia.org/wiki/Bollinger_Bands

    The chart thus expresses arbitrary choices or assumptions of the user, and is not strictly about the price data alone. Typical values for N and K are 20 days and 2, respectively. The default choice for the average is a simple moving average, but other types of averages can be employed as needed. Exponential moving averages are a common second ...

  8. Implied volatility - Wikipedia

    en.wikipedia.org/wiki/Implied_volatility

    The function f is monotonically increasing in σ, meaning that a higher value for volatility results in a higher theoretical value of the option. Conversely, by the inverse function theorem , there can be at most one value for σ that, when applied as an input to f ( σ , ⋅ ) {\displaystyle f(\sigma ,\cdot )\,} , will result in a particular ...

  9. Data Analysis Expressions - Wikipedia

    en.wikipedia.org/wiki/Data_Analysis_eXpressions

    Data Analysis Expressions (DAX) is the native formula and query language for Microsoft PowerPivot, Power BI Desktop and SQL Server Analysis Services (SSAS) Tabular models. DAX includes some of the functions that are used in Excel formulas with additional functions that are designed to work with relational data and perform dynamic aggregation.