Predicting Busts

Analyzing Credit Allocation Patterns During Booms

Authors

  • Casey Bayer MIT Sloan School of Management

Abstract

New MIT Sloan research finds firms producing domestic goods and services most strongly predict potential economic slowdowns and systemic crises, with implications for policymakers looking to bolster the economy and safeguard the financial system.

 

Author Biography

  • Casey Bayer, MIT Sloan School of Management

     

     

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Published

2023-06-26

Issue

Vol. 9 No. 6 (2023): June

Section

Articles

License

Copyright (c) 2023 IndraStra Global Publishing Solutions Inc.

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

Predicting Busts: Analyzing Credit Allocation Patterns During Booms. (2023). IndraStra Global, 9(6). https://ojs.indrastra.com/index.php/indrastra/article/view/183