DEFINITION of 'Robust'
A characteristic describing a model's, test's or system's ability to effectively perform while its variables or assumptions are altered. A robust concept can operate without failure under a variety of conditions.
INVESTOPEDIA EXPLAINS 'Robust'
Robustness can relate to both economic and statistical concepts. For statistics, a test is claimed as robust if it still provides insight to a problem despite having its assumptions altered or violated. In economics, robustness is attributed to financial markets that continue to perform despite alterations in market conditions. In general, being robust means a system can handle variability and remain effective.

Variance
The spread between numbers in a data set, measuring Variance ... 
AntiFragility
A postulated antithesis to fragility where highimpact events ... 
Fama And French Three Factor Model
A factor model that expands on the capital asset pricing model ... 
Black Scholes Model
A model of price variation over time of financial instruments ... 
Capital Asset Pricing Model  CAPM
A model that describes the relationship between risk and expected ... 
Value At Risk  VaR
A statistical technique used to measure and quantify the level ...

What assumptions are made when conducting a ttest?
The common assumptions made when doing a ttest include those regarding the scale of measurement, random sampling, normality ... Read Full Answer >> 
What are some of the more common types of regressions investors can use?
The most common types of regression an investor can use are linear regressions and multiple linear regressions. Regressions ... Read Full Answer >> 
What types of assets produce negative portfolio variance?
Assets that have a negative correlation with each other produce negative portfolio variance. Variance is one measure of the ... Read Full Answer >> 
When is it better to use systematic over simple random sampling?
Under simple random sampling, a sample of items is chosen randomly from a population, and each item has an equal probability ... Read Full Answer >> 
What are some common financial sampling methods?
There are two areas in finance where sampling is very important: hypothesis testing and auditing. The type of sampling methods ... Read Full Answer >> 
How can I measure portfolio variance?
Portfolio variance measures the dispersion of returns of a portfolio. It is calculated using the standard deviation of each ... Read Full Answer >>

Markets
The Uses And Limits Of Volatility
Check out how the assumptions of theoretical risk models compare to actual market performance. 
Fundamental Analysis
The Capital Asset Pricing Model: An Overview
CAPM helps you determine what return you deserve for putting your money at risk. 
Fundamental Analysis
Catch On To The CCAPM
The consumption capital asset pricing model smoothes over some of CAPM's weaknesses to make sense of risk aversion. 
Active Trading Fundamentals
How To Convert Value At Risk To Different Time Periods
Volatility is not the only way to measure risk. Learn about the "new science of risk management". 
Options & Futures
An Introduction To Value at Risk (VAR)
Volatility is not the only way to measure risk. Learn about the "new science of risk management". 
Professionals
Style Matters In Financial Modeling
If you're looking to get a job as an analyst, you'll need to know how to work it. 
Economics
Explaining the Liquidity Coverage Ratio
The liquidity coverage ratio requires banks and other financial institutions to hold enough cash and liquid assets on hand to weather market stress. 
Fundamental Analysis
Calculating Valuation
Valuation is the process of determining what an asset is worth. 
Economics
Will the Selloff in China Hurt the Global Economy?
Though China is the world’s second largest economy, its volatility in the stock market is unlikely to have an impact on the global or Chinese economy. 
Fundamental Analysis
Understanding Qualitative Analysis
Qualitative analysis is a general term describing the nonmathematical scrutiny used by investors and managers to make investment and business decisions.