Nominal Yield
What is Nominal Yield? Nominal yield is a fixed percentage amount calculated for fixed income securities representing a stated yield for a bond. It is calculated by dividing the annual interest payments by the face value of the bond. It is also referred to as the coupon rate of a fixed income security. How to…
Net Lease
What is a Net Lease? A net lease is a contractual arrangement where one party conveys land or property to another party in exchange for payment of a combination of rent, property taxes, insurance and various operational costs. The commercial property is provided by the lessor to the lessee, who will pay the lessor for…
Opinion Letter
What is an Opinion Letter? An opinion letter, also called a legal opinion, is a letter issued by a legal counsel that facilitates a lender’s due diligence process in a transaction. The opinion letter is used in credit analysis to help determine whether to lend to a borrower or not. Lenders often require an opinion…
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…
NAV (Net Asset Value)
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…
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…
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…
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…
