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Monitoring or moral hazard? Evidence from real activities manipulation by venture-backed companies.
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Prior literature suggests two competing theories regarding the role of venture capitalists (VCs) in their portfolio companies. The VC monitoring hypothesis argues that VCs effectively resolve the managerial agency problem through close monitoring and restraining managers' earnings management behavior. The VC moral hazard hypothesis argues that VCs aggravate the private benefits agency problem by exerting influence over managers to artificially inflate exit stock price through earnings management. Using a sample of IPO firms between 1987 and 2002, after controlling for the magnitude of accruals manipulation (AM), I compare the magnitude of real activities manipulation (RM) between venture-backed and non-venture-backed companies. I find that relative to non-venture-backed companies, venture-backed companies show significantly less RM in the first post-IPO fiscal year. The results are robust after controlling for the VC selection endogeneity. The finding supports the VC monitoring hypothesis that VCs restrain managers' RM behavior. Furthermore, I document that venture-backed companies exhibit a significant difference from non-venture-backed companies only in the first post-IPO fiscal year. The difference between the two groups in either the IPO year or the second post-IPO fiscal year is not significant, or at best, is weak. This finding is consistent with the argument that VCs tighten their control during the lockup expiration period when insiders such as managers or founders have strong incentives to inflate earnings. By the end of the second post-IPO fiscal year when VCs exit the portfolio companies, their impact on portfolio companies' RM decreases dramatically which makes the difference between the two groups less significant. In addition, using a sample of venture-backed IPOs from 1987 to 2002, I find that companies backed by high-reputation VCs show significantly less RM than those backed by low-reputation VCs in the first post-IPO fiscal year. The results are robust to alternative VC reputation proxies. This finding is consistent …
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Does the Knowledge of Unaudited Account Balances Adversely Affect the Performance of Substantive Analytical Procedures?
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Auditors use substantive analytical procedures to make assertions about the adequacy and appropriateness of client balances. The analytical procedure process consists of auditors creating independent account expectations and corroborating unusual fluctuations through obtaining and evaluating additional audit evidence. Prior analytical procedure research has found that knowledge of clients' unaudited account balances biases auditors' expectations towards the current year figures. However, this research has failed to examine the impact of biased expectations on the subsequent stages of analytical procedures. This dissertation assesses the full impact of biased account expectations on auditors' use of analytical procedures. I experimentally test the hypotheses of my dissertation through administering an experiment to senior level auditors. After inducing an account expectation bias that favors the client account balance in half the participants, I examine the auditors' cognitive investigation into an unusual account fluctuation. The results indicate that a biased account expectation negatively affects auditors' judgment quality. In particular, a biased expectation leads auditors to favor hypotheses and additional information that supports the proposition that the client's balance is reasonably stated. Alternatively, auditors with unbiased account expectations are more willing to consider all hypotheses and are able to identify the most pertinent additional information to the decision task. As a result of the different decision strategies employed, auditors who form unbiased account expectations are significantly more likely than auditors with biased account expectations to identify the correct relationship among the underlying data and the proposed hypotheses during a substantive analytical procedure.