Update README.md

Author: firmai

README.md

@@ -7,7 +7,7 @@ Tabular augmentation is a new experimental space that makes use of novel and tra
 
 To take full advantage of tabular augmentation for time-series you would perform the techniques in the following order: **(1) transforming**, **(2) interacting**, **(3) mapping**, **(4) extracting**, and **(5) synthesising**. What follows is a practical example of how the above methodology can be used. The purpose here is to establish a framework for table augmentation and to point and guide the user to existing packages.
 
-For most the [Colab Notebook](https://colab.research.google.com/drive/1-uJqGeKZfJegX0TmovhsO90iasyxZYiT) format might be preferred. I have enabled comments if you want to ask question or address any issues you uncover. For anything pressing use the issues tab. 
+For most the [Colab Notebook](https://colab.research.google.com/drive/1-uJqGeKZfJegX0TmovhsO90iasyxZYiT) format might be preferred. I have enabled comments if you want to ask question or address any issues you uncover. For anything pressing use the issues tab. Also have a look at the [SSRN report](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3582219) for a more succinct insights. 
 
 ![](assets/Tabularz.png)