BRETTON WOODS - ORIGINAL INTENTIONS AND CURRENT PROBLEMS

The Bretton Woods institutions have been subjected to a variety of criticisms in recent years and have been faced with severe problems in carrying out their objectives. The International Monetary Fund (IMF) and the World Bank have not performed in accordance with the original intentions of their founders. As shown in this article, this is in large measure because the world economic environment has been quite different from that envisaged by the participants in the Bretton Woods conference. Many of the original intended functions for these institutions are no longer relevant. This article examines the current problems facing the IMF and World Bank, with special attention to how they are related to the original intentions. For example, in recent years, a major problem has been the financial crises of member countries that have liberalized their economies in line with trends toward globalization. These crises have resulted in demands on the IMF and World Bank for financial assistance for purposes other than those for which their assistance was originally designed. Other problems of the two institutions include providing assistance to the world's poorest countries that have made virtually no development progress in recent years, and assisting the former communist countries in transition to market economies. The author gives his personal views on how these and other problems of the IMF and World Bank should be dealt with.     

A monetary mechanism for sharing capital: Diamond and Dybvig meet Kiyotaki and Wright

Summary. A model is presented in which banks update public records, accept deposits of fiat money and intermediate capital. I show that inside money is more liquid than outside money, increasing the turnover rates of idle capital. The model offers a simple explanation for the dual role of financial institutions: Banks are monitored and can issue nominal assets upon request, which helps them to transfer capital in sufficiently high rates and to also become intermediaries. The model shares some features with those of Diamond and Dybvig [5], and Kiyotaki and Wright [7].Received: 18 February 2003, Revised: 16 February 2004, JEL Classification Numbers: E51, G21, G24.Ricardo de O. Cavalcanti: I thank two anonymous referees, Susumu Imai, B. Ravikumar and Neil Wallace, as well as participants at the Economic Theory symposium Recents Developments in Money and Finance, and seminar participants at the Richmond Fed, Queens University, and Sabanci University for comments on an early draft. The hospitality and financial support of the Cleveland Fed Central Bank Institute and CNPq are greatfully appreciated. The authors opinions are not necessarily those of the Federal Reserve Bank of Cleveland or the Federal Reserve System.     

A model of the federal funds market

Summary This paper develops a stochastic general equilibrium model of the federal funds market that incorporates non-Fisherian effects on interest rates stemming from both supply and demand shocks to reserves. Such a model may reconcile the widespread belief in a liquidity effect of money supply shocks with the difficulty many researchers have had in finding empirical support for such an effect. The model also cautions against interpreting the observed negative correlation between the federal funds rate and innovations to nonborrowed reserves as empirical confirmation of the ability of the Federal Reserve to lower short-term real interest rates.This paper should not be interpreted as reflecting the views of the Board of Governors of the Federal Reserve System or its staff. We gratefully acknowledge lengthy discussions and correspondence with V. V. Chari, Marty Eichenbaum, and especially Larry Christiano, that helped to clarify many issues. We were told many institutional details by Jim Clouse and Josh Feinman, and we received many helpful comments from David Altig, Michael Dotsey, and participants at the conference on Recent Research on the Liquidity Effect of Monetary Policy, 1993, Federal Research Bank of Cleveland, the conference on Recent Macroeconomic Research: Lessons for Policymaking, 1993, Federal Reserve Bank of Atlanta and the conference on Operating Procedures and the Conduct of Monetary Policy, 1992, Federal Reserve Bank of St. Louis.     

USES OF FINANCIAL ACCOUNTS IN MONETARY ANALYSIS

Developments in economic theory have in many ways enhanced the opportunity for using financial accounts data in monetary analysis. This is true in such areas as the role of assets, the development of portfolio choice theory, the demand for money, and the behavior of intermediaries. At the same time, theory has increasingly emphasized behavioral relationships. These developments give rise to new data needs. An inquiry was addressed to some 25 specialists, whose responses illustrate these needs. Some of the desired data are “more of the same,” such as more sectoring, more detail on financial instruments, data on stocks as well as flows. Some data needs, reflecting behavioral theorizing, point beyond traditional financial accounts data and call for maturity distributions, interest rates, rates of return on equities and real assets, and the parameters of their frequency distributions. The degree of economic development and the degree of openness are found to be important determinants of the kind of data to be sought and employed in particular countries. Public policy is finding increasing use for financial accounts data in coordinating the flow of financial resources with the planning of physical investment. Nevertheless, many policy purposes call for more detailed data than can be provided by an integrated system. This has led to a selective use of data sources outside the financial accounts. Builders of financial models, likewise, have found it preferable to work with more flexible data selected ad hoc than with integrated financial accounts. Hope of applying the techniques of modern model building to financial accounts data, such as econometric estimation of a flow of funds table, or its conversion into an input-output matrix, seems tenuous for the time being. Thus, financial accountants, competing with financial model builders for the attention of theorists and policy makers, must broaden the scope of their data in the hope that there is room for the growth of both disciplines.     

破解中小企业金融业务障碍的策略研究——基于中国工商银行信贷机制改革视角

面对高成长性和高风险性并存的中小企业金融市场,中国工商银行如何继续保持国内领先和国际先进的中小企业金融业务地位,并以此促进自身发展,是当前迫切需要解决的问题.从中国工商银行信贷机制改革视角出发,必须做好以下六点: (1)完善对职能部门和客户经理的激励与风险考核机制; (2)修正中小企业信贷客户评级授信体系; (3)建立体现效率的信贷授权审批机制; (4)培育专职的小企业客户经理队伍; (5)完善中小企业金融产品体系; (6)摸索建立新型风险防控体系.     

从人民银行西安辖区两个案例看中央银行部分金融服务业务的外包

近几年 ,人民银行西安分行在推进后勤社会化 ,降低行政成本 ,提高行政效率方面取得了显著的成效。本文在总结国际上商业银行部分业务外包的基础上 ,结合 2 0 0 2年下半年《西安金融》部分工作人员外聘的实际情况和人行韩城市 (陕西 )支行城镇居民储蓄问卷工作委托给当地城调队的运行结果 ,提出央行可以继续探索将部分金融服务业务外包给专业机构 ,以降低运行成本 ,提高服务水平 ,更加聚精会神地履行好央行核心职能     

Monetary policy in the BOF3 quarterly model of the Finnish economy

This paper describes the modelling of monetary policy in BOF3, a quarterly econometric model of Finland built at the Research Department of the Bank of Finland. BOF3 is a 198-equation, ‘amended Keynesian’ model which is used regularly in policy analysis and forecasting at the Bank. The modelling of the Finnish monetary sector has been complicated by the fact that most interest rates applied by the banks have so far been institutionally regulated. In spite of this, model builders have attempted to follow the conventional IS-LM approach as closely as possible, assuming that interest rates equilibrate financial markets outside the banking sector. The reported simulation experiments describe the effects of a change in nomical interest rates, of a change in the domestic money supply, and of a fiscal stimulus with and without monetary accomodation.     

A model to analyse financial fragility

Summary. This paper sets out a tractable model which illuminates problems relating to individual bank behaviour, to possible contagious inter-relationships between banks, and to the appropriate design of prudential requirements and incentives to limit ‘excessive’ risk-taking. Our model is rich enough to include heterogeneous agents, endogenous default, and multiple commodity, and credit and deposit markets. Yet, it is simple enough to be effectively computable and can therefore be used as a practical framework to analyse financial fragility. Financial fragility in our model emerges naturally as an equilibrium phenomenon. Among other results, a non-trivial quantity theory of money is derived, liquidity and default premia co-determine interest rates, and both regulatory and monetary policies have non-neutral effects. The model also indicates how monetary policy may affect financial fragility, thus highlighting the trade-off between financial stability and economic efficiency.Received: 6 November 2003, Revised: 6 October 2004 JEL Classification Numbers: D52, E4, E5, G11, G21.C.A.E. Goodhart, P. Sunirand, D.P. Tsomocos: We are grateful to T.F. Bewley, S. Bhattacharya, F. Hahn, C. Mayer, H.S. Shin and seminar participants at the Bank of Austria, Bank of England, Bank of Norway, Bank for International Settlements, Brown University, the 7th Annual Macroeconomic Conference, Crete, EcoMod-IIOA International Conference, Brussels, the 2nd Oxford Finance Summer Symposium and Nuffield, Oxford, the Hong Kong Institute for Monetary Research, Purdue University, the University of Birmingham, the VI SAET Conference, Rhodes, Yale University, and especially an anonymous referee and H.M. Polemarchakis for helpful comments. The views expressed are those of the authors and do not necessarily reflect those of the Bank of England. Correspondence to: D.P. Tsomocos     

Big Data Algorithmic Trading Systems Based on Investors’ Mood

Traditional automated trading systems use rules and filters based on Chartism to send orders to the market, aiming to beat the market and obtain positive returns in bullish or bearish contexts. However, these systems do not consider the investors’ mood that many studies have demonstrated its effects over the evolution of financial markets. The authors describe 2 "big data" algorithmic trading systems over Ibex 35 future. These systems send orders to the market to open long or short positions, based on an artificial intelligence model that uses investors’ mood. To measure the investors' mood, the authors use semantic analysis algorithms that qualify as good, bad, or neutral any communication related to Ibex 35 made on social media (Twitter) or news media. After 1.5 years of research, conclusions are: First, the authors observe positive returns, demonstrating that investors’ mood has predictive capacity on the evolution of the Ibex 35. Second, these systems have beaten the Ibex 35 index, showing the imperfect efficiency of the financial markets. Third, big data algorithmic trading systems numbers are better in Sharpe ratio, success rate, and profit factor than traditional trading systems on the Ibex 35, listed in the Trading Motion platform.     

Political instability: Effects on financial development, roots in the severity of economic inequality

We here bring forward strong evidence that political instability impedes financial development, with its variation a primary determinant of differences in financial development around the world. As such, it needs to be added to the short list of major determinants of financial development. First, structural conditions first postulated by Engerman and Sokoloff (2002) as generating long-term inequality are shown here to have strong empirical support as exogenous determinants of political instability. Second, that exogenously-determined political instability in turn holds back financial development, even when we control for factors prominent in the last decade’s cross-country studies of financial development. The findings indicate that inequality-perpetuating conditions that result in political instability and weak democracy are fundamental roadblocks for international organizations like the World Bank that seek to promote financial development. The evidence here includes country fixed effect regressions and an instrumental model inspired by Engerman and Sokoloff’s (2002) work, which to our knowledge has not yet been used in finance and which is consistent with current tests as valid instruments. Four conventional measures of national political instability – Alesina and Perotti’s (1996) well-known index of instability, a subsequent index derived from Banks’ (2005) work, and two indices of managerial perceptions of nation-by-nation political instability – persistently predict a wide range of national financial development outcomes. Political instability’s significance is time consistent in cross-sectional regressions back to the 1960s, the period when the key data becomes available, robust in both country fixed effects and instrumental variable regressions, and consistent across multiple measures of instability and of financial development. Overall, the results indicate the existence of an important channel running from structural inequality to political instability, principally in nondemocratic settings, and then to financial backwardness. The robust significance of that channel extends existing work demonstrating the importance of political economy explanations for financial development and financial backwardness. It should help to better understand which policies will work for financial development, because political instability has causes, cures, and effects quite distinct from those of many of the key institutions most studied in the past decade as explaining financial backwardness.     

Hidden in Plain Sight: Unpaid Household Services and the Politics of GDP Measurement

ABSTRACT

Gross domestic product (GDP) is one of the world’s most influential and widely cited economic indicators. However, outside of the industrialised, market-based context in which the indicator was first designed, GDP measurement suffers from a number of biases and blind spots. The article zooms in on one of these: the exclusion of unpaid household services from the production boundary of the System of National Accounts, the international standard underpinning GDP methodology. While GDP has expanded over time to include activities as diverse as financial services and the informal sector, the treatment of unpaid household services has remained unchanged. Why is this? I find that staff in the statistical departments of international organisations such the United Nations, International Monetary Fund and World Bank have a tremendous degree of agency in the governance of GDP. While these statisticians are aware of and engage with criticisms, they reject the inclusion of unpaid household services based on shared professional norms and economic ideas.     

FINANCIAL OPERATIONS AND MONETARY STATISTICS: IMPROVED CONCORDANCE IN THE FRENCH NATIONAL ACCOUNTS

National accounts are a powerful means of coordinating different statistical systems. The better their classifications are adapted to the basic statistics or the information blocks one wishes to use, the better the national accounts play their part. This statement explains why, taking the opportunity of revising the whole system, French national accountants tried to improve the concordance between financial operation tables and monetary statistics. Other reasons leading to this attempt can be found in the dissatisfaction of users having to face different and inconsistent financial information such as the monetary statistics on one hand and the financial aggregates of the national accounts on the other; and even more reasons appear in the organizational field since those two statistical systems are issued by two neighbour services of the Banque de France, often depending on the same sources. Further, many propitious factors are converging at the same time: the French financial system is undergoing profound transformations originating as much in the behaviour of economic agents as in the law, and the statistical operations have to adapt to these changes. The national accounts will in the near future include balance sheets in which financial asset holdings are directly comparable to the money supply aggregates. In its first part our paper sets forth the detailed reasons for our attempts, the conditions in which it took place and the present results. We have reached a much better degree of consistency between the two systems, even if the final scheme has not yet been adopted in either the monetary field or in the field of national accounts. But an important question remains open about the durability of the harmonization: we think that it could be relatively uncertain because of the differences in the goals pursued by the two systems and the constraints which they face. That is why in the second part of the paper we tried to review the way such a pragmatic undertaking as ours could call into question the way in which financial operations are described in the system of national accounts. If one agrees with the present boundary between the real and the financial sphere, the articulation must remain somewhat elementary. But if one wants to revise the usual so-called dichotomy between financial and non financial phenomena, we think that a complete rebuilding of the conceptual framework of the accounts has to be done; this would necessitate a considerable amount of theoretical and practical work.     

A simple search model of money with heterogeneous agents and partial acceptability

Summary. Simple search models have equilibria where some agents accept money and others do not. We argue such equilibria should not be taken seriously. This is unfortunate if one wants a model with partial acceptability. We introduce heterogeneous agents and show partial acceptability arises naturally and robustly. There can be multiple equilibria with different degrees of acceptability. Given the type of heterogeneity we allow, the model is simple: equilibria reduce to fixed points in [0,1]. We show that with other forms of heterogeneity equilibria are fixed points in set space, and there is no method to reduce this to a problem in R¹.Received: 4 September 2002, Revised: 23 September 2002JEL Classification Numbers: C78, E40.A. Shevchenko, R. Wright: We thank seminar participants at the Federal Reserve Bank of Cleveland, Indiana University, Purdue University, University of Toronto, the 2002 Midwest Macroeconomics Conference at Vanderbilt University, and the 2001 Conference on Economic Dynamics at the University of Essex. The National Science Foundation and the Federal Reserve Bank of Cleveland provided financial support. Braz Ministerio de Camargo and Gabriel Camera provided some helpful suggestions. Correspondence to: R. Wright     

Hedonic price indexes and the distribution of buyers across the product space: an application to mainframe computers

In this article we present the Silverman multimodality test and mixture distributions methodology, applying both approaches to the Survey of Economic Expectations of the Central Bank of Chile. The main results reflect the importance of a permanent monitoring of the complete distributions and not just central tendency meausures as is the practice in many central banks currently. We find that the forecasts of the private professional forecasters have systematically been in line with the inflation targeting range, although during episodes where the effective inflation proved to be outside the target range.     

The Asian Crisis,Gender, and the International Financial Architecture

This paper begins with an account of the Asian crisis, its creation and management by international financial institutions (the International Monetary Fund and the World Bank), and the gender impact of their stabilization and structural adjustment programs. Next we consider the new debate on reforming the IMF and the World Bank and restructuring the international financial architecture to prevent crises and manage them more effectively. Finally, we consider the gender ramifications of these changes. Since feminists have been absent from this debate, we examine issues essential to the formation of a gender-conscious international financial structure.     

Monetary policy implications of short-term capital flows in Turkey

The advent of global financial crisis in 2008, unleashed volatile short term capital flows to the emerging markets. This has forced many central banks in the developing world to adopt innovative policy measures to address concerns related to financial instability caused by the volatile nature of capital flows. In 2010 Turkish Central Bank included financial stability in addition to price stability as one of primary goals of its monetary policy. Several macro-prudential measures had been taken and ‘corridor system’ of setting the short-term policy rates had been introduced. In this paper, we have estimated an extended Taylor rule, using error correction model, to examine the impact of global financial factors in impacting the setting up of the policy rate in the pre and post 2010 periods in Turkey. It has been found that in the post-2010 period, global financial factors and monetary policy stance of the core economy, USA, have become major factor(s) in shaping up the monetary policy. Particularly our results of variance decomposition show that global financial indicators such as, VIX and EMBI have taken prominence in the setting of the short-term policy rate. This has not only made the domestic monetary more dependent on external factors but has also made pro-cyclical in nature.     

我国政策性银行的DEA效率分析

本文采用DEA方法对2000—2007年我国三家政策性银行——中国农业发展银行、国家开发银行和中国进出口银行的DEA效率进行了分析。研究结果表明:首先,国家开发银行的技术效率、纯技术效率和规模效率在三家政策性银行中表现最好,农业发展银行的表现最差;其次,造成政策性银行低效率的很大原因在于规模低效率;最后,我国政策性银行的财务可持续能力相对较差。     

Nonlinear dynamics and covered interest rate parity

This paper examines the dynamics of deviations from covered interest parity using daily data on the UK/US spot, forward exchange rates and interest rates over the period January 1974 to September 1993. Like other studies we find a substantial number of instances during the sample in which the covered interest parity condition exceeds the transaction costs band, implying arbitrage profit opportunities. While most of these implied profit opportunities are relatively small, there is also evidence of some very large deviations from covered interest parity in the sample. In order to examine the persistence of these deviations, we estimated a threshold autoregression in which the dynamics behavior of deviations from covered interest parity is different outside the transaction costs band than inside them. We find that while the impulse response functions when inside the transaction costs band are nearly symmetric, those for the outside the bands are asymmetric-suggesting less persistence outside of the transaction costs band than inside the band.The authors would like to thank Jeanette Diamond, Michael O'Hara, Baldev Raj, and two anonymous referees for helpful suggestions on an earlier draft. The views expressed herein are solely those of the authors and should not be construed to be those of the Federal Reserve Bank of Dallas or the Federal Reserve System.     

Financial Inclusion and Financialization: Latin American Main Trends after the Great Crisis

In recent decades, the World Bank (WB) and the International Monetary Fund (IMF) have promoted policies and programs for financial inclusion (FI). This article studies the meaning of the inclusion proposal as well as the main results. The most important argument of this policy is the increase of local savings as the basis of investment and growth. Although this objective has not been achieved, inclusion remains a current policy. In reality, FI has been driven by an underlying agenda, as has been the case of other policies from the same sphere of interests that the Washington Consensus authored at the beginning of the 1990s. Although this denomination has been abandoned due to the loss of prestige it has achieved in the region, its main objectives continue to be promoted by many governments. Also, FI has been a vehicle for deepening financialization.     

Prediction of bank financial strength ratings: The case of Turkey

Bank financial strength ratings have gained widespread popularity especially after the recent financial turmoil. Rating agencies were criticized because of their ratings and failure to predict the bankruptcy of the banks. Based on this observation, we investigate whether the forecast of the rating of bank's financial strength using publicly available data is consistent with those of the credit rating agency. We use the data of Turkish banks for this investigation. We take a country-specific approach because previous studies found that proxies used for environmental factors (political, economic, and financial risk of the country) did not have any explanatory power and it is hard to find international data for other important factors such as franchise value, concentration, and efficiency. We use two popular multivariate statistical techniques (multiple discriminant analysis and ordered logistic regression) to estimate a suitable model and we compare their performances with those of two mostly used data mining techniques (Support Vector Machine and Artificial Neural Network). Our results suggest that our predictions are consistent with those of Moody's financial strength rating in general.. The important factors in rating are found to be profitability (measured by return on equity), efficient use of resources, and funding the businesses and the households instead of the government that shows efficient placement of the funds.