diff --git a/Real-World/1-Applications/README.md b/Real-World/1-Applications/README.md
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--- a/Real-World/1-Applications/README.md
+++ b/Real-World/1-Applications/README.md
@@ -7,7 +7,7 @@ While a lot of interest in industry has been garnered by AI, which usually lever
 
 ## Finance
 
-One of the major consumers of classical machine learning models is the finance industry.
+One of the major consumers of classical machine learning models is the finance industry. Two specific examples we cover here are **credit card fraud detection** and **wealth management**. 
 
 ### Credit card fraud detection
 
@@ -17,6 +17,10 @@ K-means clustering comes in handy during a credit card fraud detection technique
 
 ### Wealth management
 
+In wealth management, an individual or firm handles investments on behalf of their clients. Their job is to sustain and grow wealth in the long-term, so it is essential to choose investments that perform well.
+
+One way to evaluate how a particular investment performs is through statistical regression. [Linear regression](Regression/1-Tools/README.md) is a valuable tool for understanding how a fund performs relative to some benchmark. We can also deduce whether or not the results of the regression are statistically significant, or how much they would affect a client's investments. You could even further expand your analysis using multiple regression, where additional risk factors can be taken into account. For an example of how this would work for a specific fund, check out [this paper](http://www.brightwoodventures.com/evaluating-fund-performance-using-regression/) on evaluating fund performance using regression.
+
 ## Education
 
 ### Predicting student behavior