Investor vs Lender Behavior Data

B2B Credit Risk B2C Credit Risk Portfolio Management Hedge Fund Management Credit Data Economic Data Industry-Specific Data

Is there a resource where I can compare and contrast the behavior of investors and loan lenders with regards to the same kind of companies? For instance, companies in the same industry with equivalent credit scores. I want to know to what extent investors will take on more risky prospects, and in which industries is this more pronounced, etc. Is something like that available?

Thank you in advance.

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Use cases (4)

B2B Credit Risk

Many companies supply goods, loans, and services based on business and trade credit, either invoicing customers for payment at a later date or providing B2B loans. Business credit risk management assists companies with lending decisions based on a client's financial health as well as other parameters that may indicate how likely they are to pay on time. Providing the right amount of credit will reduce the risk of late payments or defaults, which expose the vendor to financial risk.

B2C Credit Risk

Credit scoring is a statistical analysis performed by lenders and financial institutions to assess a person's creditworthiness for mortgages, credit cards, and private loans. Credit scoring is used by lenders to decide whether to extend or deny credit. Traditionally, a person's credit score determined by credit bureaus is a number between 300 and 850 with 850 being the highest credit rating possible. As new types of lenders and insurers emerge, however, the traditional credit score becomes just one parameter joined with a large variety of alternative data that helps determine a person's creditworthiness.

Portfolio Management

Portfolio management is the management of investments to meet long-term financial objectives. Today, machine learning models and external data are used in order to help companies and individuals better manage, diversify, and maintain their assets and take on less risk for higher reward. Today, machine learning models and external data are used in order to help companies and individuals better manage, diversify, and maintain their assets and take on less risk for higher reward. Portfolio management models and use cases include any collection of investment instruments like shares, mutual funds, bonds, FDs and other cash equivalents, etc.

Hedge Fund Management

Hedge fund investments use several different strategies to achieve returns in both domestic and international markets. They are often aggressively managed and trade in land, real estate, stocks, derivatives, currencies, etc. markets. The most lucrative hedge funds also have a diverse portfolio—which means investors need to analyze large amounts of data to make investment decisions.