991 resultados para financial forecasting
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Comprehensive Annual Financial Report (CAFR) of the University of Northern Iowa for the year ended June 30, 2007
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Comprehensive Annual Financial Report (CAFR) of the Iowa Public Employees Retirement System (IPERS) for the fiscal year ended June 30, 2007
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Audit report on the Jackson County Sanitary Disposal Agency for the year ended June 30, 2007
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Understanding the mechanism through which financial globalization affect economic performance is crucial for evaluating the costs and benefits of opening financial markets. This paper is a first attempt at disentangling the effects of financial integration on the two main determinants of economic performance: productivity (TFP)and investments. I provide empirical evidence from a sample of 93 countries observed between 1975 and 1999. The results suggest that financial integration has a positive direct effect on productivity, while it spurs capital accumulation only with some delay and indirectly, since capital follows the rise in productivity. I control for indirect effects of financial globalization through banking crises. Such episodes depress both investments and TFP, though they are triggered by financial integration only to a minor extent. The paper also provides a discussion of a simple model on the effects of financial integration, and shows additional empirical evidence supporting it.
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We provide methods for forecasting variables and predicting turning points in panel Bayesian VARs. We specify a flexible model which accounts for both interdependencies in the cross section and time variations in the parameters. Posterior distributions for the parameters are obtained for a particular type of diffuse, for Minnesota-type and for hierarchical priors. Formulas for multistep, multiunit point and average forecasts are provided. An application to the problem of forecasting the growth rate of output and of predicting turning points in the G-7 illustrates the approach. A comparison with alternative forecasting methods is also provided.
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Audit report on the Wireless E911 Emergency Communication Fund of the Iowa Homeland Security and Emergency Management Division of the Iowa Department of Public Defense for the year ended June 30, 2007
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This paper presents empirical support for the existence of wealth effects in the contribution of financial intermediation to economic growth, and offers a theoretical explanation for these effects. Using GMM dynamic panel data techniques applied to study the growth-promoting effects of financial intermediation, we show that the exogenous contribution of financial development on economic growth has different effects for different levels of income per capita. We find that this contribution is generally increasing with thelevel of income per capita of the economy, up to a relatively high level of income. This contribution is consistently lower for poor countries; and for some low levels of income per capita it can be negative. We provide a model to account for these wealth effects. The model is a overlapping generations growth model where financial intermediaries implement liquidity risk sharing among depositors. We show that at early stages of economic development, a bank can increase welfare of its depositors only at the cost of lowering investment and growth. However, once the economy has crossed certain wealth threshold, the liquidity role of banks becomes unambiguously growth enhancing. As wealth increases, banks offer improving liquidity insurance, and higher growth; however, for high levels of wealth, growth generated byfinancial intermediation declines as the economy attains the optimal level of consumption risk sharing.
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This paper presents a comparative analysis of linear and mixed modelsfor short term forecasting of a real data series with a high percentage of missing data. Data are the series of significant wave heights registered at regular periods of three hours by a buoy placed in the Bay of Biscay.The series is interpolated with a linear predictor which minimizes theforecast mean square error. The linear models are seasonal ARIMA models and themixed models have a linear component and a non linear seasonal component.The non linear component is estimated by a non parametric regression of dataversus time. Short term forecasts, no more than two days ahead, are of interestbecause they can be used by the port authorities to notice the fleet.Several models are fitted and compared by their forecasting behavior.
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Conventional financial accounting informationis slanted in favour of certain economic interests. This paper argues in favour ofaccounting information capturing and showingrelevant aspects of the economic-social situation,and of decision-making based on it allowingfor decisions to be taken with economic-social,and not purely economic-weighted, awareness.
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Species' geographic ranges are usually considered as basic units in macroecology and biogeography, yet it is still difficult to measure them accurately for many reasons. About 20 years ago, researchers started using local data on species' occurrences to estimate broad scale ranges, thereby establishing the niche modeling approach. However, there are still many problems in model evaluation and application, and one of the solutions is to find a consensus solution among models derived from different mathematical and statistical models for niche modeling, climatic projections and variable combination, all of which are sources of uncertainty during niche modeling. In this paper, we discuss this approach of ensemble forecasting and propose that it can be divided into three phases with increasing levels of complexity. Phase I is the simple combination of maps to achieve a consensual and hopefully conservative solution. In Phase II, differences among the maps used are described by multivariate analyses, and Phase III consists of the quantitative evaluation of the relative magnitude of uncertainties from different sources and their mapping. To illustrate these developments, we analyzed the occurrence data of the tiger moth, Utetheisa ornatrix (Lepidoptera, Arctiidae), a Neotropical moth species, and modeled its geographic range in current and future climates.
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We present a standard model of financial innovation, in which intermediaries engineer securities with cash flows that investors seek, but modify two assumptions. First, investors (and possibly intermediaries) neglect certain unlikely risks. Second, investors demand securities with safe cash flows. Financial intermediaries cater to these preferences and beliefs by engineering securities perceived to be safe but exposed to neglected risks. Because the risks are neglected, security issuance is excessive. As investors eventually recognize these risks, they fly back to safety of traditional securities and markets become fragile, even without leverage, precisely because the volume of new claims is excessive.
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The financial revolution improved the British government s ability to borrow, andthus its ability to wage war. North andWeingast argued that it also permitted privateparties to borrow more cheaply and widely.We test these inferences with evidencefrom a London bank.We confirm that private bank credit was cheap in the earlyeighteenth century, but we argue that it was not available widely. Importantly, thegovernment reduced the usury rate in 1714, sharply reducing the circle of privateclients that could be served profitably.
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Comprehensive annual financial report of the State of Iowa for the year ended June 30, 2008
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Comprehensive annual financial report of the University of Northern Iowa, Cedar Falls, Iowa for the years ended June 30, 2008 and 2007
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This paper offers empirical evidence that a country's choice of exchange rate regime can have a signifficant impact on its medium-term rate of productivity growth. Moreover, the impact depends critically on the country's level of financial development, its degree of market regulation, and its distance from the global technology frontier. We illustrate how each of these channels may operate in a simple stylized growth model in which real exchange rate uncertainty exacerbates the negative investment e¤ects of domestic credit market constraints. The empirical analysis is based on an 83 country data set spanning the years 1960-2000. Our approach delivers results that are in striking contrast to the vast existing empirical exchange rate literature, which largely finds the effects of exchange rate volatility on real activity to be relatively small and insignificant.