Seattle, WA, United States of America

Jingjiao Zhang


Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2012

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1 patent (USPTO):Explore Patents

Title: Jingjiao Zhang: Innovator in Transition Probability Optimization

Introduction

Jingjiao Zhang is a noteworthy inventor based in Seattle, Washington. He has made significant contributions to the field of financial data analysis through his innovative methods and systems for generating transition probability matrices.

Latest Patents

Jingjiao Zhang holds a patent titled "Methods and Systems for Generating Transition Probability Matrices through an Optimization Framework." This innovative method involves using a computer system connected to a database to store financial data, including obligor credit ratings. Through this process, he generates multi-period empirical transition probability matrices (ETPMs) for selected time horizons. Furthermore, the invention focuses on creating a mathematical expression that minimizes the differences between target ETPM values and candidate optimized transition probability matrix (OTPM) values. This culminates in the calculation of an OTPM that predicts the likelihood of an obligor's credit rating migrating between different states within specified time intervals.

Career Highlights

Currently, Jingjiao Zhang is affiliated with GE Corporate Financial Services, Inc., where he applies his expertise in financial risk assessment and predictive modeling. With a strong foundation in financial technology, he has been able to develop systems that enhance decision-making processes in the banking and financial sectors.

Collaborations

Throughout his career, Jingjiao has collaborated with skilled professionals such as Sean Coleman Keenan and Vishwanath Avasarala. These partnerships have enabled him to further enhance his research and broaden the impact of his innovations within the financial services industry.

Conclusion

Jingjiao Zhang’s innovative contributions to the realm of transition probability optimization exemplify the significance of research and development in financial technologies. His patented methods not only improve predictive analytics but also provide valuable insights for risk management in the financial sector. The ongoing influence of his work will undoubtedly continue to shape the industry for years to come.

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