Home > Library > An empirical implementation of CreditGrades
Author Andy Yeh Alpha
This research article empirically implements the novel and non-obvious credit risk model CreditGrades.
Description:
We use the CreditGrades credit risk model to value credit default swap (CDS) spreads for public companies at the intersection of the S&P 100 index and Moody's Bottom Rung report for the global financial crisis period from 2007Q3 to 2009Q2. We implement this canonical credit risk model in accordance with the *CreditGrades technical document* jointly developed by Goldman Sachs, JP Morgan, Deutsche Bank, and RiskMetrics. Our empirical study focuses on the strengths and weaknesses of the chosen risk model by analyzing the main empirical results with several complementary statistical and qualitative tests for better triangulation.
2019-06-01 10:33:00 Saturday ET

Top tech firms such as Google, Intel, and Qualcomm suspend Android services to HuaWei as the Trump administration blacklists the Chinese company. HuaWei can
2025-10-01 10:29:00 Wednesday ET

Stock Synopsis: With a new Python program, we use, adapt, apply, and leverage each of the mainstream Gemini Gen AI models to conduct this comprehensive fund
2019-07-03 11:35:00 Wednesday ET

U.S. regulatory agencies may consider broader economic issues in their antitrust probe into tech titans such as Amazon, Apple, Facebook, and Google etc. Hou
2019-04-19 12:35:00 Friday ET

Federal Reserve proposes to revamp post-crisis rules for U.S. banks. The current proposals would prescribe materially less strict requirements for community
2018-11-13 12:30:00 Tuesday ET

President Trump promises a great trade deal with China as Americans mull over mid-term elections. President Trump wants to reach a trade accord with Chinese
2025-08-02 13:31:00 Saturday ET

Chip Espinoza, Mick Ukleja, and Craig Rusch shine fresh light on the core competences for managing millennials as part of the new modern workforce in recent