A common method of valuing the equity in highly leveraged transactions is the flows-to-equity method. When applying this method various formulas can be used to calculate the time-varying cost of equity. In this paper we show that some commonly used formulas are inconsistent with the assumptions...

This paper proposes a machine learning approach to estimate physical forward default intensities. Default probabilities are computed using artificial neural networks to estimate the intensities of the inhomogeneous Poisson processes governing default process. The major contribution to previous...

The aim of this paper is to study the impact of the bankruptcy law on financing, investment, default and liquidation decisions of firms. We build a model in which the firm has the opportunity to get into debt to finance an investment whose return is stochastic. Shareholders and bondholders...

Return anomalies are most pronounced among distressed stocks. We attribute this finding to the role of misvaluation and investors' inability to value distressed stocks correctly. We treat distressed stocks as options and construct a valuation model that explicitly takes into account the value of...

We build a model of investment and financing decisions to study the choice between bonds and bank loans in a firm's marginal financing decision and its effects on corporate investment. We show that firms with more growth options, higher bargaining power in default, operating in more competitive...

Using a dynamic model of financing, investment, and macroeconomic risk, we investigate when firms sell assets to fund investments (financing asset sales) across the business cycle. Equity financed investment transfers wealth from equity to debt because asset volatility declines and earnings...

We investigate the channel through which fluctuations in the market liquidity of real-sector repo collateral cause arbitrage crashes and failure of systemically important intermediaries during the global financial crisis. Intermediaries pledge productive capital as repo collateral to fund the...

We develop a dynamic tradeoff model to examine the importance of manager-shareholder conflicts in capital structure choice. Using panel data on leverage choices and the model's predictions for different statistical moments of leverage, we show that while refinancing costs help explain the...

We study the determinants of private benefits of control in negotiated block transactions. We estimate the block pricing model in Burkart, Gromb, and Panunzi (2000) explicitly dealing with the existence of both block premia and block discounts in the data. We find evidence that the occurrence of...

We develop statistical methods to detect informed trading in options markets. We apply these methods to 31 companies from various sectors over 14 years analyzing approximately 9.6 million option prices. We find that option informed trading tends to cluster prior to certain events, takes place...