Part 1Because of the adverse selection problem LOADING... :Part 2
A. lenders may refuse loans to individuals with high net worth because of their greater proclivity to 'skip town' B. bad credit risks with a willingness to pay higher interest rates will be the majority seeking loans C. lenders will write debt contracts that restrict certain activities of borrowers D. good credit risks are more likely to seek loans, causing lenders to make a disproportionate number of loans to good credit risks

Question

Part 1Because of the adverse selection problem LOADING... ​:Part 2
A. lenders may refuse loans to individuals with high net worth because of their greater proclivity to​ 'skip town' B. bad credit risks with a willingness to pay higher interest rates will be the majority seeking loans C. lenders will write debt contracts that restrict certain activities of borrowers D. good credit risks are more likely to seek​ loans, causing lenders to make a disproportionate number of loans to good credit risks

BlackTom AI · Accepted Answer

The question concerns the adverse selection problem and how it manifests in lending markets. We will evaluate each option in turn to see which one best describes the adverse selection outcome.
Option A: 'lenders may refuse loans to individuals with high net worth because of their greater proclivity to skip town.' This is inconsistent with adverse selection, which typically involves high-risk individuals being more inclined to seek loans or lenders losing due to information asymmetry, not that high-net-worth individuals are systematically refused because they might flee. The statement also misattributes behavior to wealth in a way that doesn’t align with standard adverse selection logic.
Option B: 'bad credit risks with a willingness to pay higher interest rates will be the majority seeking loans.' This option captures a key feature of adverse selection: those most likely to default (high-risk borrowers) are often overrepresented in the pool of loan applicants, especially if they can signal a willingness to pay higher rates or if higher-risk individuals must compete for credit. In many models, higher-risk borrowers anticipate being able to obtain funds at higher interest, or they are the ones most actively seeking funds when information is imperfect, leading lenders to face a skewed pool of applicants toward riskier borrowers.
Option C: 'lenders will write debt contracts that restrict certain activities of borrowers.' While covenants and restrictions are common in lending, they are more about risk management and contract design than a direct description of the adverse selection problem itself. This option describes a response to risk, not the selection process that occurs due to asymmetric information.
Option D: 'good credit risks are more likely to seek loans, causing lenders to make a disproportionate number of loans to good credit risks.' This statement would imply a selection toward safer borrowers, which would be a favorable screening or market signaling outcome, not the classic adverse selection problem where risky borrowers are more likely to be active in seeking loans due to asymmetric information.
Across these options, A and C miss the core mechanism of adverse selection or describe consequences/strategies rather than the fundamental outcome, and D describes the opposite of adverse selection. The statement in B aligns with the distortion adverse selection creates in the loan market by attracting a larger fraction of higher-risk borrowers who are willing to pay higher rates or who nonetheless seek credit under information asymmetry. Therefore, option B correctly identifies the adverse selection tendency in lending markets.
In summary, option A fails to capture the adverse selection mechanism, option B correctly describes the majority-seeking behavior of bad credit risks under asymmetric information, option C describes a risk-management practice rather than the selection process, and option D contradicts the typical adverse selection outcome by implying safer borrowers dominate the loan pool.

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