NONLINEAR REGRESSION
A form of regression analysis in which data is fit to a model expressed as a mathematical function. Simple linear regression relates two variables (X and Y) with a straight line (y = mx + b), while nonlinear regression must generate a line (typically a curve) as if every value of Y was a random variable. The goal of the model is to make the sum of the squares as small as possible. Nonlinear regression uses logarithmic functions, trigonometric functions and exponential functions, among other fitting methods.
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Housing Bubble
A run-up in housing prices fueled by demand, speculation and the belief that recent history is an infallible forecast of the future. Housing bubble ...
Low Exercise Price Option - LEPO
A call option for investors that has a price of 1 cent with an agreement to buy 1000 shares. This cannot be executed until its expiry. It works lik ...
Callable Security
A security with an enclosed call provision that gives the person who issues to redeem or repurchase the security by a particular period. Since the ...
Shadowing
Shadowing is the creation of values for variables that are not dependent strictly to market value. This means that these variable have market value ...
Pass-Through Rate
Pass-through rate is the net
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