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The literature on leverage until now shows how an increase in volatility reduces leverage. However, in order to explain pro-cyclical leverage it assumes that bad news increases volatility. This paper suggests a reason why bad news is more often than not associated with higher future volatility. We show that, in a model with endogenous leverage and heterogeneous beliefs, agents have the incentive to invest mostly in technologies that become volatile in bad times. Together with the old literature this explains pro-cyclical leverage. The result also gives rationale to the pattern of volatility smiles observed in the stock options since 1987. Finally, the paper presents for the first time a dynamic model in which an asset is endogenously traded simultaneously at different margin requirements in equilibrium.
Stock price forecasting. --- Speculation --- Information technology --- Bucket-shops --- Commercial corners --- Corners, Commercial --- Finance --- Gambling --- Commodity exchanges --- Contracts, Aleatory --- Investments --- Stock exchanges --- Forecasting, Stock price --- Security price forecasting --- Stocks --- Business forecasting --- Prices --- Forecasting --- Investments: General --- Investments: Bonds --- Macroeconomics --- Industries: Financial Services --- Incomplete Markets --- General Equilibrium and Disequilibrium: Financial Markets --- Financial Markets and the Macroeconomy --- Financial Crises --- Portfolio Choice --- Investment Decisions --- General Financial Markets: General (includes Measurement and Data) --- Price Level --- Inflation --- Deflation --- Banks --- Depository Institutions --- Micro Finance Institutions --- Mortgages --- Macroeconomics: Consumption --- Saving --- Wealth --- Investment & securities --- Asset prices --- Collateral --- Bonds --- Securities --- Consumption --- Loans --- Financial instruments --- Economics
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Cross-border financial flows arise when (otherwise identical) countries differ in their abilities to use assets as collateral to back financial contracts. Financially integrated countries have access to the same set of financial instruments, and yet there is no price convergence of assets with identical payoffs, due to a gap in collateral values. Home (financially advanced) runs a current account deficit. Financial flows amplify asset price volatility in both countries, and gross flows driven by collateral differences collapse following bad news about fundamentals. Our results can explain financial flows among rich, similarly-developed countries, and why these flows increase volatility.
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We show that cross-country differences in the underlying volatility and persistence of macroeconomic shocks help explain two historical regularities in sovereign borrowing: the existence of "vicious" circles of borrowing-and-default ("default traps"), as well as the fact that recalcitrant sovereigns typically face higher interest spreads on future loans rather than outright market exclusion. We do so in a simple model where output persistence is coupled with asymmetric information between borrowers and lenders about the borrower's output process, implying that a decision to default reveals valuable information to lenders about the borrower's future output path. Using a broad cross-country database spanning over a century, we provide econometric evidence corroborating the model's main predictions-namely, that countries with higher output persistence and conditional volatility of transient shocks face higher spreads and thus fall into default traps more easily, whereas higher volatility of permanent output tends to dampen these effects.
Exports and Imports --- Investments: Bonds --- Macroeconomics --- Production and Operations Management --- General Financial Markets: General (includes Measurement and Data) --- Price Level --- Inflation --- Deflation --- International Lending and Debt Problems --- Macroeconomics: Production --- Investment & securities --- International economics --- Asset prices --- Debt default --- Bonds --- Output gap --- Sovereign bonds --- Prices --- Debts, External --- Production --- Economic theory --- United States --- Fiscal policy --- Budget deficits --- Finance, Public --- Econometric models.
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This paper examines Latin America's access to international capital markets from 1980 to 2005, with particular attention to the role of domestic and external factors. To capture access to international markets, we use primary gross issuance in international bond, equity, and syndicated-loan markets. Using panel estimation, we find that sound fundamentals matter. For example, Argentina, Brazil, and Chile's superb performance in capital markets during the early 1990s has been in large part driven by better fundamentals. However, the upsurge in international lending to Latin America starting in 2003 has been mainly driven by a dramatic increase in global liquidity.
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We develop a model of leverage that is amenable to laboratory implementation and gather experimental data. We compare two identical economies: in one economy, agents cannot borrow; in the other, they can leverage a risky asset to issue debt. Leverage increases asset prices in the laboratory. This increase is significant and quantitatively close to what theory predicts. Moreover, also as theory suggests, leverage allows gains from trade to be realized in the laboratory. Finally, the mechanism generating the price increase in the lab is due to the asset role as collateral, and different from what we would observe with a simple credit line or bigger cash endowments.
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Cross-border financial flows arise when (otherwise identical) countries differ in their abilities to use assets as collateral to back financial contracts. Financially integrated countries have access to the same set of financial instruments, and yet there is no price convergence of assets with identical payoffs, due to a gap in collateral values. Home (financially advanced) runs a current account deficit. Financial flows amplify asset price volatility in both countries, and gross flows driven by collateral differences collapse following bad news about fundamentals. Our results can explain financial flows among rich, similarly-developed countries, and why these flows increase volatility.
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