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This paper explores how affiliates of multinational corporations save liquidity when facing a transitory cash-flow shock. For this a panel is first built of non-publicly traded copper mines in South America between 2001 and 2012, most of them set up as Foreign Direct Investment (FDI). This...
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This paper investigates the impact of exchange rate fluctuations on the value of non-financial firms in Chile. Using a detailed dataset on firms' foreign activities, the potential determinants of the identified exposure are examined. Foreign exchange exposure depends on the levels of foreign...
Persistent link: https://www.econbiz.de/10013137579
This paper investigates whether the Quantitative Easing (QE) program implemented by the Federal Reserve Board after the 2007-2008 global financial crisis affects firms in emerging economies by improving their access to external financing. Our hypothesis relies on the idea that the excess of...
Persistent link: https://www.econbiz.de/10013014717
On average, foreign corporations save a third of their local profits in the host country. While this is recorded as "Retained Earnings Foreign Direct Investment" (REFDI), macroeconomics has so far overlooked its particularities. This paper explores the aggregate economic properties of REFDI. It...
Persistent link: https://www.econbiz.de/10012937133
Some projects take time to build or are slow to yield cash flows. This may impact the dynamics of investment and liquidity management, although few studies test their financial implications. We exploit the peculiar advantages of copper mines as a laboratory to identify cash-flow sensitivities....
Persistent link: https://www.econbiz.de/10012970749
We perform an out-of-sample comparison of linear factor asset pricing models from an economic perspective under predictability. We assess the economic value added of several factor models when a Bayesian investor is faced with a portfolio allocation problem whereby each model imposes...
Persistent link: https://www.econbiz.de/10013226488
We investigate whether machine learning techniques and a large set of financial and macroeconomic variables can be used to predict future S&P realized volatility. We evaluate the aggregate volatility predictions of regularization methods (Ridge, Lasso, and Elastic Net), tree-based methods...
Persistent link: https://www.econbiz.de/10013232613
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