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Corporate investment decisions require managers to forecast expected future cash flows from potential investments. Although these forecasts are a critical component of successful investing, they are not directly observable by external stakeholders. In this study, we investigate whether the quality of managers' externally reported earnings forecasts can be used to infer the quality of their corporate investment decisions. Relying on the intuition that managers draw on similar skills when generating external earnings forecasts and internal payoff forecasts for their investment decisions, we predict that managers with higher quality external earnings forecasts make better investment decisions. Consistent with our prediction, we find that forecasting quality is positively associated with the quality of both acquisition and capital expenditure decisions. Our evidence suggests that externally observed forecasting quality can be used to infer the quality of capital budgeting decisions within firms.

In this paper, we provide a theoretical and empirical framework that allows us to synthesize and assess the burgeoning literature on CEO overconfidence. We also provide novel empirical evidence that overconfidence matters for corporate investment decisions in a framework that explicitly addresses the endogeneity of firms' financing constraints.

Using hand-collected data on divisional managers at S&P 500 firms, we study their role in internal capital budgeting. Divisional managers with social connections to the CEO receive more capital. Connections to the CEO outweigh measures of managers' formal influence, such as seniority and board membership, and affect both managerial appointments and capital allocations. The effect of connections on investment efficiency depends on the tradeoff between agency and information asymmetry. Under weak governance, connections reduce investment efficiency and firm value via favoritism. Under high information asymmetry, connections increase investment efficiency and firm value via information transfer.

We use randomized grants to generate shocks to capital stock for a set of Sri Lankan microenterprises. We find the average real return to capital in these enterprises is 4.6%-5.3% per year), substantially higher than market interest rates. We then examine the heterogeneity of treatment effects. Returns are found to vary with entrepreneurial ability and with household wealth, but not to vary with measures of risk aversion or uncertainty. Treatment impacts are also significantly larger for enterprises owned by males; indeed, we find no positive return in enterprises owned by females.

A risk-averse manager's overconfidence makes him less conservative. As a result, it is cheaper for firms to motivate him to pursue valuable risky projects. When compensation endogenously adjusts to reflect outside opportunities, moderate levels of overconfidence lead firms to offer the manager flatter compensation contracts that make him better off. Overconfident managers are also more attractive to firms than their rational counterparts because overconfidence commits them to exert effort to learn about projects. Still, too much overconfidence is detrimental to the manager since it leads him to accept highly convex compensation contracts that expose him to excessive risk.

There is a discrepancy between CAPM-implied and realized returns. Using the CAPM in capital budgeting—as recommended in textbooks—should thus have real effects. For instance, low beta projects should be valued more by CAPM users than by the market. We test this hypothesis using M&A data and show that bids for low-beta private targets entail lower bidder returns. We provide further support by testing several ancillary predictions. Our analyses suggest that using the CAPM when valuing targets leads to valuation errors (relative to the market’s view) corresponding on average to 12% to 33% of the deal values.

This paper provides the first credible evidence on the economic value of “green buildings” derived from impersonal market transactions rather than engineering estimates. We analyze clusters of certified green and nearby buildings, establishing that “rated” buildings command substantially higher rents and selling prices than otherwise identical buildings. Variations in premiums are systematically related to energy-saving characteristics. Increased energy efficiency is associated with increased selling prices -- beyond the premiums paid for a labeled building. Evidence suggests that the intangible effects of the label itself may also play a role in determining the values of green buildings in the marketplace. (JEL G31,M14,Q52,R33)

This paper examines how the external information environment in which foreign subsidiaries operate affects the investment decisions of multinational corporations (MNCs). We hypothesize and find that the investment decisions of foreign subsidiaries in country-industries with more transparent information environments are more responsive to local growth opportunities than are those of foreign subsidiaries in country-industries with less transparent information environments. Further, this effect is larger when (1) there are greater cross-border frictions between the parent and subsidiary, and (2) the parents are relatively more involved in their subsidiaries' investment decision-making process. Our results suggest that the external information environment helps mitigate the agency problems that arise when firms expand their operations across borders. This paper contributes to the literature by showing that the external information environment helps MNCs mitigate information frictions within the firm.

Using individual census records, we provide novel evidence on CEOs’ socioeconomic backgrounds and study their role in investment decisions. Male CEOs allocate more investment capital to male than female division managers. This gender gap is driven by CEOs who grew up in male-dominated families where the father was the only income earner and had more education than the mother. The gender gap also increases for CEOs who attended all-male high schools and grew up in neighborhoods with greater gender inequality. The effect of gender on capital budgeting introduces frictions and erodes investment efficiency.

Over the last two decades, robust optimization has emerged as a computationally attractive approach to formulate and solve single-stage decision problems affected by uncertainty. More recently, robust optimization has been successfully applied to multistage problems with continuous recourse. This paper takes a step toward extending the robust optimization methodology to problems with integer recourse, which have largely resisted solution so far. To this end, we approximate two-stage robust binary programs by their corresponding K -adaptability problems, in which the decision maker precommits to K second-stage policies, here -and-now, and implements the best of these policies once the uncertain parameters are observed. We study the approximation quality and the computational complexity of the K -adaptability problem, and we propose two mixed-integer linear programming reformulations that can be solved with off-the-shelf software. We demonstrate the effectiveness of our reformulations for stylized instances of supply chain design, route planning, and capital budgeting problems.