Super Finance Glossary
Over 10,000 financial glossary terms...
If you want to refine these results, please use the search box.
Hint: Not sure how the word is listed? Just enter the first few letters.
Hint: Not sure how the word is listed? Just enter the first few letters.
Browsing by the letter "L"
Displaying next 360 results of 371
Lump-sum Distribution
Definition: A single payment that represents an employee's interest in a qualified retirement plan. The payment must be prompted by retirement (or other separation from service), death, disability, or attainment of age 59-1/2, and must be made within a single tax year to avoid the federal government's 10% penalty tax.
Definition: A single payment that represents an employee's interest in a qualified retirement plan. The payment must be prompted by retirement (or other separation from service), death, disability, or attainment of age 59-1/2, and must be made within a single tax year to avoid the federal government's 10% penalty tax.
Luxury Tax
Definition: A tax paid on expensive goods and services considered by the government to be nonessential.
Definition: A tax paid on expensive goods and services considered by the government to be nonessential.
Lyapunov Exponents
Definition: A measure of the dynamics of an attractor. Each dimension has a Lyapunov exponent. A positive exponent measures sensitive dependence on initial conditions, or how much our forecasts can diverge based upon different estimates of starting conditions. Another way to view Lyapunov exponents is the loss of predictive ability as we look forward into time. Strange Attractors are characterized by at least one positive exponent. A negative exponent measures how points converge towards one another. Point Attractors are characterized by all negative variables. See: Attractor, Limit Cycle, Point Attractor, Strange Attractor.
Definition: A measure of the dynamics of an attractor. Each dimension has a Lyapunov exponent. A positive exponent measures sensitive dependence on initial conditions, or how much our forecasts can diverge based upon different estimates of starting conditions. Another way to view Lyapunov exponents is the loss of predictive ability as we look forward into time. Strange Attractors are characterized by at least one positive exponent. A negative exponent measures how points converge towards one another. Point Attractors are characterized by all negative variables. See: Attractor, Limit Cycle, Point Attractor, Strange Attractor.
Previous
Next
