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Arbitrageur

What is an Arbitrageur? An arbitrageur is an individual who earns profits by taking advantage of inefficiencies in financial markets. Arbitrage opportunities arise when an asset is priced differently between multiple markets at the same time. Such price differences are inefficiencies resulting from deficiencies in the marketplace. A successful arbitrageur profits by simultaneously purchasing financial…

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NAV (Net Asset Value)

What is NAV (Net Asset Value)? NAV (Net Asset Value) refers to the total equity of a business. While NAV can be applied to any entity, it is mostly used to reference investment funds, such as mutual funds and ETFs.     NAV Formula Here is how to calculate NAV:   NAV = Fund Assets…

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Economic Obsolescence (Real Estate)

What is Economic Obsolescence (Real Estate)? Economic obsolescence refers to the loss of value of a real estate property that is caused by factors that are external to the property. Such a form of obsolescence is usually incurable and the owners cannot fix the specific cause of depreciation. Economic obsolescence results in a decline in…

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Multiple Linear Regression

What is Multiple Linear Regression? Multiple linear regression refers to a statistical technique that is used to predict the outcome of a variable based on the value of two or more variables. It is sometimes known simply as multiple regression, and it is an extension of linear regression. The variable that we want to predict…

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Elastic Net

What is Elastic Net? Elastic net linear regression uses the penalties from both the lasso and ridge techniques to regularize regression models. The technique combines both the lasso and ridge regression methods by learning from their shortcomings to improve the regularization of statistical models. The elastic net method improves lasso’s limitations, i.e., where lasso takes…

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LASSO

What is LASSO? LASSO, short for Least Absolute Shrinkage and Selection Operator, is a statistical formula whose main purpose is the feature selection and regularization of data models. The method was first introduced in 1996 by Statistics Professor Robert Tibshirani. LASSO introduces parameters to the sum of a model, giving it an upper bound that…

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Financial Modeling Code

What is the Financial Modeling Code? The financial modeling code serves as an essential guide to financial analysts and companies looking to predict future financial performance based on various assumptions and historical performance. The code explains how to build financial models, providing guidance on the models’ layout, appearance, and functionality. Users can create understandable, robust,…

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Decision Tree

What is a Decision Tree? A decision tree is a support tool with a tree-like structure that models probable outcomes, cost of resources, utilities, and possible consequences. Decision trees provide a way to present algorithms with conditional control statements. They include branches that represent decision-making steps that can lead to a favorable result. The flowchart…

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Gradient Boosting

What is Gradient Boosting? Gradient boosting is a technique used in creating models for prediction. The technique is mostly used in regression and classification procedures. Prediction models are often presented as decision trees for choosing the best prediction. Gradient boosting presents model building in stages, just like other boosting methods, while allowing the generalization and…

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Government Stimulus Package

What is a Government Stimulus Package? A government stimulus package is a series of economic measures applied by a government to stimulate a stressed economy. The stimulus package can be used to strengthen an economy that is coming out of recession by lowering tax rates or increasing government spending in attempting to lower unemployment and…

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