Some Potential Linkages for Input-Output Analysis with Flow-of-Funds

Three major, interrelated accounting statements, at the frontiers of quantitative economic analysis, are three interrelated systems, namely: (1) National income and product accounts (NIPA), (2) The input-output tableaux, (IO), and (3) flow-of- funds accounts (FF). The third-mentioned system is somewhat less available and used in only limited areas of macroeconomic analysis. This paper is mainly concerned with use of FF accounting systems. This system shows where financial resources originate, and where they go in support of real capital formation. In this respect, interest rates and other market-based financial rates are of key importance. While much macroeconomic analysis is based on the rates that fit the yield curve, showing the interest rate structure over various maturities of debt associated with a given degree of risk. In contrast, the FF accounts throw light on the whole spectrum of interest rates, across maturities and debt qualities. For example, in analysis of the real estate market and funding of capital formation there, it is important to have a full understanding of the course of mortgage rates of different maturities and qualities. In short, it is necessary to develop a full appreciation of supply and demand forces in the mortgage market, which often is not obviously related to movements of the operative rate for monetary policy, such as very short-term inter bank rates or call money rates. This paper attempts to provide material from the flow-of-funds accounts that would make it possible to analyze the movement of relevant mortgage rates or whatever other rates are needed to understand the financing of capital formation in real estate.     

为什么中国的汇率要钉住美元：基于日元的历史分析

从1994年到2005年7月21日，中国把其汇率固定在1美元兑换8．28元人民币的水平。此后的人民币汇率机制改革使得人民币汇率在严格控制下开始小幅升值。由于中国的劳动生产率增长相当迅速，贸易盈余持续增长，并积累了大量美元外汇储备。这引发了美国的“排华风潮”，并强烈要求人民币进一步升值。尽管人民币升值并不能降低中国的贸易盈余，但人民币升值的威胁将降低中国的名义利率——1978—1995年的“排日风潮”和日元升值就是如此。日元过度升值引起的通货紧缩，加之零利率的流动性陷阱，造成了20世纪90年代成为日本的“失去的十年”，在新千年里，这同样可能在中国重演。     

On Choosing and Bounding Probability Metrics

When studying convergence of measures, an important issue is the choice of probability metric. We provide a summary and some new results concerning bounds among some important probability metrics/distances that are used by statisticians and probabilists. Knowledge of other metrics can provide a means of deriving bounds for another one in an applied problem. Considering other metrics can also provide alternate insights. We also give examples that show that rates of convergence can strongly depend on the metric chosen. Careful consideration is necessary when choosing a metric.     

Combining forecasts: some results on exchange and interest rates

The aim of this work is to investigate whether the combination of forecasts plays an important role in the improvement of forecast accuracy Particular attention is paid to: (a) the methods of forecasting (the methods compared are neural networks, fuzzy logic, GARCH models, switching regime and chaotic dynamics); (b) combining the forecasts provided by the different methods. This work has also the aim of revising a short-term econometric forecast using a longer-term forecast. The revision process usually runs the opposite way (revision is made on a longer-term forecast using a short-term one to reflect the current available information, but it is not excluded that it is possible to proceed as described above. Daily data from the financial market is used. Some empirical applications on exchange and interest rates are given.     

Asymmetries between Rich and Poor Countries in Financial Crisis Responses: The Need for a Flow-of-Funds Approach

This paper focuses on the manner in which interest rates have been raised to, and sustained at, extremely high levels in developing and emerging market economies as a consequence of recent financial crises. By contrast rich market economies have typically lowered interest rates and injected liquidity in response to incipient financial crises. The paper first sketches the logic that lies behind extremely high interest rates (nominal and real) as an element of crisis resolution. It suggests that this reflects a money-phobic view of financial markets and also conflicts with some well-established economics. It then reviews the conventional wisdom about why richer economies have enjoyed sustained price stability in recent years and why this in turn has allowed their monetary authorities to be relaxed about injecting additional liquidity in response to LTCM (1998) and September 11 (2001)-type crises. It is pointed out that this conventional wisdom is also money-phobic in that it neglects the build up of corporate and government debt in bond and financial derivative form that has been associated with recent financial developments. This analysis helps to contest the common view that emerging market economies pay a higher price merely because their polices are "bad'. Finally, the paper reviews the manner in which the financial systems of developing and emerging market economies respond to the destabilization created by corrosively high real rates of interest. Even when bankruptcy arrangements are well established, certain new forms of financial flows and instruments are implicit in this response, but are invariably ignored in formal modelling.     

A Model for Studying the Effect of EMU on European Yield Curves

In January 1999, the European monetary union (EMU) was formally launched with 11 member countries. However, before May 1998 there was considerable uncertainty about who would join EMU, and whether the project would start on time. When a monetary union is formed, exchange rates between the member countries are irrevocably fixed, and yield spreads stemming from exchange-rate risk are eliminated. As a direct consequence, EMU affected the prices of long-term bonds well before 1999, but quantifying this effect can be difficult when there is uncertainty about the monetary union. We address these issues and develop a bond-pricing model which explicitly takes into account that a country may join a monetary union at a future, unspecified date. The empirical results show that a narrow EMU, consisting of Germany, France and the Benelux countries, has been priced with almost 100% probability throughout the period 1995–1998, whereas, on average, the implied probability of joining EMU has been somewhat lower for the other EU countries. However, in the period leading up to May 1998, the estimated probabilities have increased considerably for the countries that joined EMU in January 1999.     

Non-homothetic preferences and growth

We observe that countries at low levels of income invest at lower rates than those at higher levels of income. This paper explains this fact as a consequence of Engel's law, i.e. that there is an inverse relation between expenditure and its proportion spent on food. It introduces non-homothetic preferences based on Engel’s law in a simple Solow model. These preferences imply rates of net investment that increase with the level of income as we approach the steady state. Increasing investment rates imply a positive correlation between growth rates and the level of income, at low levels of income, rather than an inverse relation, as the usual Solow model implies. The existence of a positive correlation between income growth rates and income levels, at low levels of income in the presence of this type of preference, has already been shown in a previous paper for a closed economy. The purpose of this paper is to show that this positive correlation persists when we introduce trade into the model.     

国际货币基金组织CGER方法介绍及评述

本文介绍了国际货币基金组织CGER汇率评估方法产生的背景以及CGER的三种汇率评估方法:宏观经济均衡法、均衡实际有效汇率法和外部可持续法。作者从样本结构、计量技术及全球一致性等方面分析了三种方法的贡献和缺陷以及CGER汇率评估对中国的影响,预测了CGER方法运用于未来国际汇率评估的趋势。     

Sources of exchange rate fluctuations: Are they real or nominal?

I analyze the role of real and monetary shocks on exchange rate behavior using a structural vector autoregressive model of the US vis-à-vis the rest of the world. The shocks are identified using sign restrictions on the responses of the variables to orthogonal disturbances. These restrictions are derived from the predictions of a two-country DSGE model. I find that monetary shocks are unimportant in explaining exchange rate fluctuations. By contrast, demand shocks explain between 21% and 37% of exchange rate variance at 4-quarter and 20-quarter horizons, respectively. The contribution of demand shocks plays an important role but not of the order of magnitude sometimes found in earlier studies. My results, however, support the recent focus of the literature on real shocks to match the empirical properties of real exchange rates.