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.
2019-10-03 17:39:00 Thursday ET

President Trump indicates that he would consider an interim Sino-American trade deal in lieu of a full trade agreement. The Trump administration defers high
2018-08-25 12:33:00 Saturday ET

President Trump warns Google, Facebook, and Twitter that these tech titans now tread on troublesome territory. Specifically, Trump accuses Google of rigging
2020-02-02 10:31:00 Sunday ET

Our proprietary alpha investment model outperforms the major stock market benchmarks such as S&P 500, MSCI, Dow Jones, and Nasdaq. We implement
2018-08-11 14:35:00 Saturday ET

The Trump administration imposes 20%-50% tariffs on Turkish imports due to a recent spat over the detention of an American pastor, Andrew Brunson, in Turkey
2018-05-21 07:39:00 Monday ET

Dodd-Frank rollback raises the asset threshold for systemically important financial institutions (SIFIs) from $50 billion to $250 billion. This legislative
2025-10-02 12:31:00 Thursday 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