Financial Frictions Investment And Institutions

Financial frictions have been identified as key factors affecting economic fluctuations and growth. But, can institutional reforms reduce financial frictions? Based on a canonical investment model, we consider two potential channels: (i) financial transaction costs at the firm level; and (ii) required return at the country level. We empirically investigate the effects of institutions on these financial frictions using a panel of 75,000 firm-years across 48 countries for the period 1990 - 2007. We find that improved corporate governance (e.g., less informational problems) and enhanced contractual enforcement reduce financial frictions, while stronger creditor rights (e.g., lower collateral constraints) are less important.

The first volume of edited papers from the Tenth World Congress of the Econometric Society 2010.

In this paper we build a model of occupational choice with informal production and progressive income taxation. We calibrate the model to the Brazilian economy to evaluate the impact of removing financial frictions on informality. We find that financial deepening leads to a drop in the size of the informal sector (from 37 percent to 22 percent of official GDP), to an increase in measured TFP (by 4 percent), to an increase in official GDP (by 27 percent), to a decrease in tax evasion (by 17 percent) and to an increase in fiscal revenues (by 15 percent). When assessing the response of this policy at different levels of financial development, we find a non-linear relationship between the credit-to-GDP ratio on the one hand, and either the size of the informal economy, or GDP per capita on the other hand. We test these features with cross-country data and find evidence in favor of both types of non-linearity. We also investigate changes in the income tax progressitivity as an alternative policy and find it to be more effective in countries with a medium to high level of financial markets development.

Firms often cite financing constraints as one of their primary obstacles to investment. Global capital flows, by bringing in scarce capital, may ease host-country firms' financing constraints. However, if incoming foreign investors borrow heavily from domestic basnks, direct foreign investment (DFI) may exacerbate financing constraints by crowding host country firms out of domestic capital markets. Combininb a unique cross-country firm-level panel with time-series data on restrictions on international transactions and capital flows, we find that different measures of global flows are associated with a reduction in firm-level financing constraints. First, we show that one type of capital inflow--DFI--is associated with a reduction in financing constraints. Second, we test whether restrictions on international transactions affect firms' financing constraints. Our results suggest that only one type of restriction--those on capital account transactions--negatively affect firms' financing constraints. We also show that multinational firms are not financially constrained and do not appear to be sensitive to the level of DFI. This implies that DFI eases financing constraints for non-multinational firms. Finally, we show that DFI only eases financing constraints in the non-G7 countries.

As the accelerated technological advances of the past two decades continue to reshape the United States' economy, intangible assets and high-technology investments are taking larger roles. These developments have raised a number of concerns, such as: how do we measure intangible assets? Are we accurately appraising newer, high-technology capital? The answers to these questions have broad implications for the assessment of the economy's growth over the long term, for the pace of technological advancement in the economy, and for estimates of the nation's wealth. In Measuring Capital in the New Economy, Carol Corrado, John Haltiwanger, Daniel Sichel, and a host of distinguished collaborators offer new approaches for measuring capital in an economy that is increasingly dominated by high-technology capital and intangible assets. As the contributors show, high-tech capital and intangible assets affect the economy in ways that are notoriously difficult to appraise. In this detailed and thorough analysis of the problem and its solutions, the contributors study the nature of these relationships and provide guidance as to what factors should be included in calculations of different types of capital for economists, policymakers, and the financial and accounting communities alike.

This textbook provides an introduction to modern monetary economics for advanced undergraduates, highlighting the lessons learned from the recent financial crisis. The book presents both the core New Keynesian model and recent advances, taking into account financial frictions, and discusses recent research on an intuitive level based on simple static and two-period models, but also prepares readers for an extension to a truly dynamic analysis. Further, it offers a systematic perspective on monetary policy, covering a wide range of models to help readers gain a better understanding of controversial issues. Part I examines the long-run perspective, addressing classical monetary policy issues such as determination of the price level and interaction between monetary and fiscal policy. Part II introduces the core New Keynesian model, characterizing optimal monetary policy to stabilize short-term shocks. It discusses rules vs. discretion and the challenges arising from control errors, imperfect information and robustness issues. It also analyzes optimal control in the presence of an effective lower bound. Part III focuses on modelling financial frictions. It identifies the transmission mechanisms of monetary policy via banking and introduces models with incomplete markets, principal-agent problems, maturity mismatch and leverage cycles, to show why investors’ and intermediaries’ own stakes play a key role in lending with pro-cyclical features. In addition, it presents a tractable model for handling liquidity management and demonstrates that the need to sell assets in crisis amplifies the volatility of the real economy. Lastly, the book discusses the relation between monetary policy and financial stability, addressing systemic risk and the role of macro-prudential regulation.

Arbitrage, State Prices and Portfolio Theory / Philip h. Dybvig and Stephen a. Ross / - Intertemporal Asset Pricing Theory / Darrell Duffle / - Tests of Multifactor Pricing Models, Volatility Bounds and Portfolio Performance / Wayne E. Ferson / - Consumption-Based Asset Pricing / John y Campbell / - The Equity Premium in Retrospect / Rainish Mehra and Edward c. Prescott / - Anomalies and Market Efficiency / William Schwert / - Are Financial Assets Priced Locally or Globally? / G. Andrew Karolyi and Rene M. Stuli / - Microstructure and Asset Pricing / David Easley and Maureen O'hara / - A Survey of Behavioral Finance / Nicholas Barberis and Richard Thaler / - Derivatives / Robert E. Whaley / - Fixed-Income Pricing / Qiang Dai and Kenneth J. Singleton.

Continuous-Time Models in Corporate Finance synthesizes four decades of research to show how stochastic calculus can be used in corporate finance. Combining mathematical rigor with economic intuition, Santiago Moreno-Bromberg and Jean-Charles Rochet analyze corporate decisions such as dividend distribution, the issuance of securities, and capital structure and default. They pay particular attention to financial intermediaries, including banks and insurance companies. The authors begin by recalling the ways that option-pricing techniques can be employed for the pricing of corporate debt and equity. They then present the dynamic model of the trade-off between taxes and bankruptcy costs and derive implications for optimal capital structure. The core chapter introduces the workhorse liquidity-management model—where liquidity and risk management decisions are made in order to minimize the costs of external finance. This model is used to study corporate finance decisions and specific features of banks and insurance companies. The book concludes by presenting the dynamic agency model, where financial frictions stem from the lack of interest alignment between a firm's manager and its financiers. The appendix contains an overview of the main mathematical tools used throughout the book. Requiring some familiarity with stochastic calculus methods, Continuous-Time Models in Corporate Finance will be useful for students, researchers, and professionals who want to develop dynamic models of firms' financial decisions.