About: Leverage (finance) is a(n) research topic. Over the lifetime, 11860 publication(s) have been published within this topic receiving 321286 citation(s). The topic is also known as: gearing.
Papers published on a yearly basis
Abstract: We investigate the determinants of capital structure choice by analyzing the financing decisions of public firms in the major industrialized countries. At an aggregate level, firm leverage is fairly similar across the G-7 countries. We find that factors identified by previous studies as important in determining the cross- section of capital structure in the U.S. affect firm leverage in other countries as well. However, a deeper examination of the U.S. and foreign evidence suggests that the theoretical underpinnings of the observed correlations are still largely unresolved.
Abstract: We provide a model that links an asset's market liquidity - i.e., the ease with which it is traded - and traders' funding liquidity - i.e., the ease with which they can obtain funding. Traders provide market liquidity, and their ability to do so depends on their availability of funding. Conversely, traders' funding, i.e., their capital and the margins they are charged, depend on the assets' market liquidity. We show that, under certain conditions, margins are destabilizing and market liquidity and funding liquidity are mutually reinforcing, leading to liquidity spirals. The model explains the empirically documented features that market liquidity (i) can suddenly dry up, (ii) has commonality across securities, (iii) is related to volatility, (iv) is subject to “flight to quality¶, and (v) comoves with the market, and it provides new testable predictions. Keywords: Liquidity Risk Management, Liquidity, Liquidation, Systemic Risk, Leverage, Margins, Haircuts, Value-at-Risk, Counterparty Credit Risk
Abstract: The Modigliani-Miller theorem on the irrelevancy of financial structure implicitly assumes that the market possesses full information about the activities of firms. If managers possess inside information, however, then the choice of a managerial incentive schedule and of a financial structure signals information to the market, and in competitive equilibrium the inferences drawn from the signals will be validated. One empirical implication of this theory is that in a cross section, the values of firms will rise with leverage, since increasing leverage increases the market's perception of value.
Abstract: This paper analyzes the relation of stock volatility with real and nominal macroeconomic volatility, economic activity, financial leverage, and stock trading activity using monthly data from 1857 to 1987. An important fact, previously noted by Officer (1973), is that stock return variability was unusually high during the 1929-1939 Great Depression. While aggregate leverage is significantly correlated with volatility, it explains a relatively small part of the movements in stock volatility. The amplitude of the fluctuations in aggregate stock volatility is difficult to explain using simple models of stock valuation, especially during the Great Depression. ESTIMATES OF THE STANDARD deviation of monthly stock returns vary from two to twenty percent per month during the 1857-1987 period. Tests for whether differences this large could be attributable to estimation error strongly reject the hypothesis of constant variance. Large changes in the ex ante volatility of market returns have important negative effects on risk-averse investors. Moreover, changes in the level of market volatility can have important effects on capital investment, consumption, and other business cycle variables. This raises the question of why stock volatility changes so much over time. Many researchers have studied movements in aggregate stock market volatility. Officer (1973) relates these changes to the volatility of macroeconomic variables. Black (1976) and Christie (1982) argue that financial leverage partly explains this phenomenon. Recently, there have been many attempts to relate changes in stock market volatility to changes in expected returns to stocks, including Merton (1980), Pindyck (1984), Poterba and Summers (1986), French, Schwert, and Stambaugh (1987), Bollerslev, Engle, and Wooldridge (1988), and Abel (1988). Mascaro and Meltzer (1983) and Lauterbach (1989) find that macroeconomic volatility is related to interest rates. Shiller (1981a,b) argues that the level of stock market volatility is too high relative to the ex post variability of dividends. In present value models such as Shiller's, a change in the volatility of either future cash flows or discount rates
Abstract: We explore the determinants of liquidation values of assets, particularly focusing on the potential buyers of assets. WVhen a firm in financial distress needs to sell assets, its industry peers are likely to be experiencing problems themselves, leading to asset sales at prices below value in best use. Such illiquidity makes assets cheap in bad times, and so ex ante is a significant private cost of leverage. We use this focus on asset buyers to explain variation in debt capacity across industries and over the business cycle, as well as the rise in U.S. corporate leverage in the 1980s. How DO FIRMS CHOOSE debt levels, and why do firms or even whole industries sometimes change how much debt they have? Why, for example, have American firms increased their leverage in the 1980s (Bernanke and Campbell (1988), Warshawsky (1990)), and why has this debt increase been the greatest in some industries, such as food and timber? Despite substantial progress in research on leverage, these questions remain largely open. In this paper, we explore an approach to debt capacity based on the cost of asset sales. We argue that the focus on asset sales and liquidations helps clarify the crosssectional determinants of leverage, as well as why debt increased in the 1980s. Williamson (1988) stresses the link between debt capacity and the liquidation value of assets. He argues that assets which are redeployable-have alternative uses-also have high liquidation values. For example, commercial land can be used for many different purposes. Such assets are good candidates for debt finance because, if they are managed improperly, the manager will be unable to pay the debt, and then creditors will take the assets away from him and redeploy them. Williamson thus identifies one important determinant of liquidation value and debt capacity, namely, asset redeploya
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