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Interview with Markus Habbel, Principal McKinsey & Company. IN THE ACTUAL CRISIS, ENTERPRISES FACE DWINDLING FINANCIAL RESOURCES AND
THE BOTTOM FALLS OUT OF A LOT OF BUSINESS. CHIEF FINANCIAL OFFICERS (CFOs) ARE IN THE EYE OF THE STORM. HOW DOES THEIR ROLE CHANGE?
We model the dynamics of ask and bid curves in a limit order book market using a dynamic semiparametric factor model. The shape of the curves is captured by a factor structure which is estimated nonparametrically. Corresponding factor loadings are assumed to follow multivariate dynamics and are modelled using a vector autoregressive model. Applying the framework to four stocks traded at the Australian Stock Exchange (ASX) in 2002, we show that the suggested model captures the spatial and temporal dependencies of the limit order book. Relating the shape of the curves to variables reflecting the current state of the market, we show that the recent liquidity demand has the strongest impact. In an extensive forecasting analysis we show that the model is successful in forecasting the liquidity supply over various time horizons during a trading day. Moreover, it is shown that the model’s forecasting power can be used to improve optimal order execution strategies.
The utility-maximizing consumption and investment strategy of an individual investor receiving an unspanned labor income stream seems impossible to find in closed form and very dificult to find using numerical solution techniques. We suggest an easy procedure for finding a specific, simple, and admissible consumption and investment strategy, which is near-optimal in the sense that the wealthequivalent loss compared to the unknown optimal strategy is very small. We first explain and implement the strategy in a simple setting with constant interest rates, a single risky asset, and an exogenously given income stream, but we also show that the success of the strategy is robust to changes in parameter values, to the introduction of stochastic interest rates, and to endogenous labor supply decisions.
Zum Gegenstand der Polizeiwissenschaft gehörte – jedenfalls unter der Herrschaft eines weiten Polizeibegriffs – auch die staatliche Sorge für die Wirtschaft. Die Herausbildung der Wirtschaft als eines eigenständigen gesellschaftlichen Teilsystems, also eines sozialen Bereichs, für den die Geltung von Leitprinzipien eigener Art beansprucht wird, fällt auf das Ende des 18. Jahrhunderts. Am Beginn der nachhaltigen Durchsetzung eines staatsunabhängigen wirtschaftlichen Denkens steht das Werk von Adam Smith, der die klassische Nationalökonomie begründete. Die Polizeiwissenschaft traf nun auf einen Gegenstand, für den eine überaus mächtige Theorie die Erklärungshoheit beanspruchte. Welche Konsequenzen ergaben sich daraus? Dieser Frage soll am Beispiel der staatlichen Kapitalhilfen für Unternehmen nachgegangen werden. ...
We provide explicit solutions to life-cycle utility maximization problems simultaneously involving dynamic decisions on investments in stocks and bonds, consumption of perishable goods, and the rental and the ownership of residential real estate. House prices, stock prices, interest rates, and the labor income of the decision-maker follow correlated stochastic processes. The preferences of the individual are of the Epstein-Zin recursive structure and depend on consumption of both perishable goods and housing services. The explicit consumption and investment strategies are simple and intuitive and are thoroughly discussed and illustrated in the paper. For a calibrated version of the model we find, among other things, that the fairly high correlation between labor income and house prices imply much larger life-cycle variations in the desired exposure to house price risks than in the exposure to the stock and bond markets. We demonstrate that the derived closed-form strategies are still very useful if the housing positions are only reset infrequently and if the investor is restricted from borrowing against future income. Our results suggest that markets for REITs or other financial contracts facilitating the hedging of house price risks will lead to non-negligible but moderate improvements of welfare.
In this paper, we analyze economies of scale for German mutual fund complexes. Using 2002-2005 data of 41 investment management companies, we specify a hedonic translog cost function. Applying a fixed effects regression on a one-way error component model there is clear evidence of significant overall economies of scale. On the level of individual mutual fund complexes we find significant economies of scale for all of the companies in our sample. With regard to cost efficiency, we find that the average mutual fund complexes in all size quartiles deviate considerably from the best practice cost frontier. JEL Classification: G2, L25 Keywords: mutual fund complex, investment management company, cost efficiency, economies of scale, hedonic translog cost function, fixed effects regression, one-way error component model
Gauging risk with higher moments : handrails in measuring and optimising conditional value at risk
(2009)
The aim of the paper is to study empirically the influence of higher moments of the return distribution on conditional value at risk (CVaR). To be more exact, we attempt to reveal the extent to which the risk given by CVaR can be estimated when relying on the mean, standard deviation, skewness and kurtosis. Furthermore, it is intended to study how this relationship can be utilised in portfolio optimisation. First, based on a database of 600 individual equity returns from 22 emerging world markets, factor models incorporating the first four moments of the return distribution have been constructed at different confidence levels for CVaR, and the contribution of the identified factors in explaining CVaR was determined. Following this the influence of higher moments was examined in portfolio context, i.e. asset allocation decisions were simulated by creating emerging market portfolios from the viewpoint of US investors. This can be regarded as a normal decisionmaking process of a hedge fund focusing on investments into emerging markets. In our analysis we compared and contrasted two approaches with which one can overcome the shortcomings of the variance as a risk measure. First of all, we solved in the presence of conflicting higher moment preferences a multi-objective portfolio optimisation problem for different sets of preferences. In addition, portfolio optimisation was performed in the mean-CVaR framework characterised by using CVaR as a measure of risk. As a part of the analysis, the pair-wise comparison of the different higher moment metrics of the meanvariance and the mean-CVaR efficient portfolios were also made. Throughout the work special attention was given to implied preferences to the different higher moments in optimising CVaR. We also examined the extent to which model risk, namely the risk of wrongly assuming normally-distributed returns can deteriorate our optimal portfolio choice. JEL Classification: G11, G15, C61
The goal of this research is to develop an understanding of what causes organizations and information systems to be “good” with regard to communication and coordination. This study (1) gives a theoretical explanation of how the processes of organizational adaptation work and (2) what is required for establishing and measuring the goodness of an organization with regard to communication and coordination. By leveraging concepts from cybernetics and philosophy of language, particularly the theoretical conceptualization of information systems as social systems and language communities, this research arrives at new insights. After discussing related work from systems theory, organization theory, cybernetics, and philosophy of language, a theoretical conceptualization of information systems as language communities is adopted. This provides the foundation for two exploratory field studies. Then a formal theory for explaining the adaptation of organizations via language and communication is presented. This includes measures for the goodness of organizations with regard to communication and coordination. Finally, propositions stemming from the theoretical model are tested using multiple case studies in six information system development projects in the financial services industry.
Analyzing interest rate risk: stochastic volatility in the term structure of government bond yields
(2009)
We propose a Nelson-Siegel type interest rate term structure model where the underlying yield factors follow autoregressive processes with stochastic volatility. The factor volatilities parsimoniously capture risk inherent to the term structure and are associated with the time-varying uncertainty of the yield curve’s level, slope and curvature. Estimating the model based on U.S. government bond yields applying Markov chain Monte Carlo techniques we find that the factor volatilities follow highly persistent processes. We show that slope and curvature risk have explanatory power for bond excess returns and illustrate that the yield and volatility factors are closely related to industrial capacity utilization, inflation, monetary policy and employment growth. JEL Classification: C5, E4, G1
Despite their importance in modern electronic trading, virtually no systematic empirical evidence on the market impact of incoming orders is existing. We quantify the short-run and long-run price effect of posting a limit order by proposing a high-frequency cointegrated VAR model for ask and bid quotes and several levels of order book depth. Price impacts are estimated by means of appropriate impulse response functions. Analyzing order book data of 30 stocks traded at Euronext Amsterdam, we show that limit orders have significant market impacts and cause a dynamic (and typically asymmetric) rebalancing of the book. The strength and direction of quote and spread responses depend on the incoming orders’ aggressiveness, their size and the state of the book. We show that the effects are qualitatively quite stable across the market. Cross-sectional variations in the magnitudes of price impacts are well explained by the underlying trading frequency and relative tick size.
We introduce a regularization and blocking estimator for well-conditioned high-dimensional daily covariances using high-frequency data. Using the Barndorff-Nielsen, Hansen, Lunde, and Shephard (2008a) kernel estimator, we estimate the covariance matrix block-wise and regularize it. A data-driven grouping of assets of similar trading frequency ensures the reduction of data loss due to refresh time sampling. In an extensive simulation study mimicking the empirical features of the S&P 1500 universe we show that the ’RnB’ estimator yields efficiency gains and outperforms competing kernel estimators for varying liquidity settings, noise-to-signal ratios, and dimensions. An empirical application of forecasting daily covariances of the S&P 500 index confirms the simulation results.
We examine intra-day market reactions to news in stock-specific sentiment disclosures. Using pre-processed data from an automated news analytics tool based on linguistic pattern recognition we extract information on the relevance as well as the direction of company-specific news. Information-implied reactions in returns, volatility as well as liquidity demand and supply are quantified by a high-frequency VAR model using 20 second intervals. Analyzing a cross-section of stocks traded at the London Stock Exchange (LSE), we find market-wide robust news-dependent responses in volatility and trading volume. However, this is only true if news items are classified as highly relevant. Liquidity supply reacts less distinctly due to a stronger influence of idiosyncratic noise. Furthermore, evidence for abnormal highfrequency returns after news in sentiments is shown. JEL-Classification: G14, C32
This paper provides a joint analysis of household stockholding participation, stock location among stockholding modes, and participation spillovers, using data from the US Survey of Consumer Finances. Our multivariate choice model matches observed participation rates, conditional and unconditional, and asset location patterns. Financial education and sophistication strongly affect direct stockholding and mutual fund participation, while social interactions affect stockholding through retirement accounts only. Household characteristics influence stockholding through retirement accounts conditional on owning retirement accounts, unlike what happens with stockholding through mutual funds. Although stockholding is more common among retirement account owners, this fact is mainly due to their characteristics that led them to buy retirement accounts in the first place rather than to any informational advantages gained through retirement account ownership itself. Finally, our results suggest that, taking stockholding as given, stock location is not arbitrary but crucially depends on investor characteristics. JEL Classification: G11, E21, D14, C35
We merge administrative information from a large German discount brokerage firm with regional data to examine if financial advisors improve portfolio performance. Our data track accounts of 32,751 randomly selected individual customers over 66 months and allow direct comparison of performance across self-managed accounts and accounts run by, or in consultation with, independent financial advisors. In contrast to the picture painted by simple descriptive statistics, econometric analysis that corrects for the endogeneity of the choice of having a financial advisor suggests that advisors are associated with lower total and excess account returns, higher portfolio risk and probabilities of losses, and higher trading frequency and portfolio turnover relative to what account owners of given characteristics tend to achieve on their own. Regression analysis of who uses an IFA suggests that IFAs are matched with richer, older investors rather than with poorer, younger ones.
Das House of Finance hat im Sommer 2008 sein Gebäude bezogen. Unter seinem Dach führt das House of Finance drei Abteilungen aus den Fachbereichen Rechtswissenschaft und Wirtschaftswissenschaften der Goethe-Universität sowie sechs rechtlich selbstständige Institute – darunter auch das E-Finance Lab - zusammen. Neben den traditionellen Aufgaben in der Forschung und Lehre verfolgt das House of Finance das Vorhaben, die Ergebnisse der Forschung für die Praxis und auch für den Finanzplatz Deutschland nutzbar zu machen. Als ein Element dieses Wissenstransfers veröffentlicht das House of Finance die „Newsletter“. Der „Newsletter“ gibt Auskunft über - drei aktuelle Forschungsergebnisse, - die Entwicklungen in der Executive Education, - die neuesten Veröffentlichungen der im House of Finance ansässigen Wissenschaftler, - den Veranstaltungskalender. Der Newsletter umfasst jeweils 16 Seiten und erscheint vierteljährlich in englischer Sprache.
Der vorliegende Beitrag untersucht, ob der Mehrheitsaktionär einer Gesellschaft im Vorfeld eines Zwangsausschlusses von Minderheitsaktionären (sog. Squeeze-Out) versucht, die Kapitalmarkterwartungen negativ zu beeinflussen. Ein solches "manipulatives" Verhalten wird häufig in der juristischen wie betriebswirtschaftlichen Literatur unterstellt, da der Aktienkurs fü die Abfindungshöhe die Wertuntergrenze bildet. Unsere empirische Untersuchung der Bilanz- und Pressemitteilungspolitik von Squeeze-Out-Unternehmen im Vorfeld der Ankündigung einer solchen Maßnahme am deutschen Kapitalmarkt zeigt, dass in diesem Zeitraum tatsächlich ein signifikanter Anstieg (Rückgang) der im Ton pessimistischen (optimistischen) Pressemitteilungen feststellbar ist. Allerdings zeigt sich weiter, dass die Aktien der Squeeze-Out-Kandidaten bereits im Vorfeld und am Tag der Ankündigung so hohe positive Überrenditen erzielen, dass der von uns quantifizierte kumulierte Effekt der Informationspolitik auf die Börsenbewertung einen insgesamt nur sehr geringen Einfluss ausübt und von anderen Faktoren (z.B. Abfindungsspekulationen) dominiert wird. JEL: M41, M40, G14, K22
Tagungsbericht des Workshops "Völkerrecht und Weltwirtschaft im 19. Jahrhundert. Die Internationalisierung der Ökonomie aus völkerrechts- und wirtschafts(theorie-)geschichtlicher Perspektive", der vom 3. bis 4. September 2009 in Frankfurt am Main stattfand. Veranstalter: Exzellenzcluster "Die Herausbildung normativer Ordnungen"; in Kooperation mit der Goethe Universität Frankfurt am Main; dem Max-Planck-Institut für europäische Rechtsgeschichte
Im Forschungsgebiet des Wissensmanagements ist der Teilbereich des Wissenstransfers von großer Bedeutung, jedoch gleichzeitig auch mit vielen Problemen verbunden, die es auf dem Weg zu einem erfolgreichen Wissenstransfer zu identifizieren und zu lösen gilt. Die vorliegende Arbeit stellt einen Ordnungsrahmen vor, mit dessen Hilfe ein detailliertes Gesamtbild des Wissenstransfers innerhalb einer beliebigen Organisation erstellt werden kann. Der Ordnungsrahmen bildet Rollen, Objekte und Handlungen des Wissenstransfers ab und setzt diese miteinander in Beziehung. Diesen Konstrukten des Ordnungsrahmens sind potentielle Probleme zugeordnet, die im Rahmen einer Literaturrecherche identifiziert werden und die einen reibungslosen Ablauf des Wissenstransfers innerhalb von Organisationen behindern können. Eine für den Ordnungsrahmen entwickelte Handlungsanleitung beschreibt, wie dieser als Basis für die konkrete Untersuchung der aktuellen Situation des Wissenstransfers in Organisationen eingesetzt werden kann. Im Rahmen der Forschungsarbeit wird anhand von mehreren Praxisfällen gezeigt, dass der Ordnungsrahmen mit Hilfe der Handlungsanleitung dazu eingesetzt werden kann, den Ist-Zustand des Wissenstransfers in Organisationen zu erheben sowie vorhandene Probleme im Wissenstransfer aufzudecken. Das Vorgehen der Forschung ist an den Grundsätzen des Design Science ausgerichtet. Der Beitrag zur Forschung als Ergebnis des Design Science-Prozesses ist der Ordnungsrahmen, dessen Validität und Relevanz anhand mehrerer Kriterien gezeigt wird.
Trotz der Potenziale, die der Einsatz von E-Learning-Angeboten in der Hochschullehre bietet, werden diese häufig noch immer in Eigeninitiative einiger weniger Lehrender eingesetzt, so dass es zu keiner flächendeckenden Bereitstellung der Angebote kommt. Die Erkenntnisse zahlreicher Förderprojekte gingen auf diese Weise in der Vergangenheit verloren. Der Aspekt der Nachhaltigkeit von E-Learning-Angeboten spielt daher in der aktuellen wissenschaftlichen Diskussion eine zentrale Rolle. Nur wenn die Nachhaltigkeit des Einsatzes der E-Learning-Angebote sichergestellt werden kann, werden sich diese auf Dauer etablieren können. Darüber hinaus stellt die nicht hierarchische Organisationsstruktur deutscher Hochschulen für die Implementierung von E-Learning-Angeboten eine besondere Herausforderung dar. In der Arbeit werden Faktoren ermittelt, die eine nachhaltige Implementierung der E-Learning-Angebote in nicht hierarchisch strukturierten Organisationen fördern. Hierzu werden durch eine Literaturrecherche die allgemein diskutierten Erfolgsfaktoren der Implementierung von E-Learning-Angeboten identifiziert und dargestellt. Ein zentraler Erfolgsfaktor wird anschließend sowohl theoriebasiert als auch empirisch analysiert. Während die theoriebasierte Analyse auf sprachkritische und managementkybernetische Grundlagen zurückgreift, wird zur empirischen Analyse eine Multiple Case Study an der Goethe-Universität Frankfurt am Main durchgeführt. Alle drei Ansätze untermauern die besondere Bedeutung dieses Erfolgsfaktors in nicht hierarchischen Organisationen. Mit diesen Ergebnissen können für zukünftige E-Learning-Initiativen Handlungsempfehlungen abgegeben werden, die einen nachhaltigen Einsatz der E-Learning-Angebote unterstützen.
Recent empirical research suggests that measures of investor sentiment have predictive power for future stock returns at intermediate and long horizons. Given that sentiment indicators are widely published, smart investors should exploit the information conveyed by the indicator and thus trigger an immediate market response to the publication of the sentiment indicator. The present paper is the first to empirically analyze whether this immediate response can be identified in the data. We use survey-based sentiment indicators from two countries (Germany and the US). Consistent with previous research we find predictability at intermediate horizons. However, the predictability in the US largely disappears after 1994. Using event study methodology we find that the publication of sentiment indicators affects market returns. The sign of this immediate response is the same as the sign of the intermediate horizon predictability. This is consistent with sentiment being related to mispricing but is inconsistent with the sentiment indicator providing information about future expected returns.
JEL-Classification: G12, G14
CURRENTLY THE REALIZATION OF SERVICE-ORIENTED ARCHITECTURE (SOA) IMPLEMENTATION IN THE GERMAN BANKING INDUSTRY VARIES, WHEREAS SOME ARE IN THE ADOPTION PHASE AND SOME ARE ALREADY IN THE SOA OPERATION PHASE. THIS ARTICLE FOCUSES ON SPECIFIC IMPLICATIONS CONCERNING THE SOA READINESS AND THE SOA MATURITY OF GERMAN BANKS AS WELL AS THE ROLE OF SOA IN THE CONTEXT OF M&A SCENARIOS.
Wohnungs‐ und Büroimmobilienmärkte unter Stress: Deregulierung, Privatisierung und Ökonomisierung
(2009)
This article shows that investors financing a portfolio of projects may use the depth of their financial pockets to overcome entrepreneurial incentive problems. Competition for scarce informed capital at the refinancing stage strengthens investors’ bargaining positions. And yet, entrepreneurs’ incentives may be improved, because projects funded by investors with ‘‘shallow pockets’’ must have not only a positive net present value at the refinancing stage, but one that is higher than that of competing portfolio projects. Our article may help understand provisions used in venture capital finance that limit a fund’s initial capital and make it difficult to add more capital once the initial venture capital fund is raised. (JEL G24, G31)
This paper shows that active investors, such as venture capitalists, can affect the speed at which new ventures grow. In the absence of product market competition, new ventures financed by active investors grow faster initially, though in the long run those financed by passive investors are able to catch up. By contrast, in a competitive product market, new ventures financed by active investors may prey on rivals that are financed by passive investors by “strategically overinvesting” early on, resulting in long-run differences in investment, profits, and firm growth. The value of active investors is greater in highly competitive industries as well as in industries with learning curves, economies of scope, and network effects, as is typical for many “new economy” industries. For such industries, our model predicts that start-ups with access to venture capital may dominate their industry peers in the long run. JEL Classifications: G24; G32 Keywords: Venture capital; dynamic investment; product market competition
We study a model of “information-based entrenchment” in which the CEO has private information that the board needs to make an efficient replacement decision. Eliciting the CEO’s private information is costly, as it implies that the board must pay the CEO both higher severance pay and higher on-the-job pay. While higher CEO pay is associated with higher turnover in our model, there is too little turnover in equilibrium. Our model makes novel empirical predictions relating CEO turnover, severance pay, and on-the-job pay to firm-level attributes such as size, corporate governance, and the quality of the firm’s accounting system.
This paper argues that banks must be sufficiently levered to have first-best incentives to make new risky loans. This result, which is at odds with the notion that leverage invariably leads to excessive risk taking, derives from two key premises that focus squarely on the role of banks as informed lenders. First, banks finance projects that they do not own, which implies that they cannot extract all the profits. Second, banks conduct a credit risk analysis before making new loans. Our model may help understand why banks take on additional unsecured debt, such as unsecured deposits and subordinated loans, over and above their existing deposit base. It may also help understand why banks and finance companies have similar leverage ratios, even though the latter are not deposit takers and hence not subject to the same regulatory capital requirements as banks.
Opting out of the great inflation: German monetary policy after the break down of Bretton Woods
(2009)
During the turbulent 1970s and 1980s the Bundesbank established an outstanding reputation in the world of central banking. Germany achieved a high degree of domestic stability and provided safe haven for investors in times of turmoil in the international financial system. Eventually the Bundesbank provided the role model for the European Central Bank. Hence, we examine an episode of lasting importance in European monetary history. The purpose of this paper is to highlight how the Bundesbank monetary policy strategy contributed to this success. We analyze the strategy as it was conceived, communicated and refined by the Bundesbank itself. We propose a theoretical framework (following Söderström, 2005) where monetary targeting is interpreted, first and foremost, as a commitment device. In our setting, a monetary target helps anchoring inflation and inflation expectations. We derive an interest rate rule and show empirically that it approximates the way the Bundesbank conducted monetary policy over the period 1975-1998. We compare the Bundesbank´s monetary policy rule with those of the FED and of the Bank of England. We find that the Bundesbank´s policy reaction function was characterized by strong persistence of policy rates as well as a strong response to deviations of inflation from target and to the activity growth gap. In contrast, the response to the level of the output gap was not significant. In our empirical analysis we use real-time data, as available to policy-makers at the time. JEL Classification: E31, E32, E41, E52, E58
The risk of deflation
(2009)
This paper was prepared for the meeting on Financial Regulation and Macroeconomic Stability: Key issues for the G20, organised by the CEPR and the Reinventing Bretton Woods Committee, London, 31 January 2009. Introduction: The onset of financial instability in August 2007, which quickly spread across the world, raises a number of questions for policy makers. First, what are the roots of the crisis? Many factors have been emphasized in the debate, including the opacity of complex financial products; the excessive confidence in ratings; weak risk management by financial institutions; massive reliance on wholesale funding; and the presumption that markets would always be liquid. Furthermore, poorly understood incentive effects – arising from the originate-to-distribute-model, remuneration policies and the period of low interest rates – are also widely seen as having played a role. Second, how can a repetition of the crisis can be avoided? Much attention is being focused on regulation and supervision of financial intermediaries. The G-20, at its summit in November 2008, noted that measures need to be taken in five areas: (i) financial market transparency and disclosure by firms need to be strengthened; (ii) regulation needs to be enhanced to ensure that all financial markets, products and participants are regulated or subject to oversight, as appropriate; (iii) the integrity of financial markets should be improved by bolstering investor and consumer protection, avoiding conflicts of interest, and by promoting information sharing; (iv) international cooperation among regulators must be enhanced; and (v) international financial institutions must be reformed to reflect changing economic weights in the world economy better in order to increase the legitimacy and effectiveness of these institutions. Third, how can the consequences for economic activity be minimized? Many of the adverse developments in financial markets – in particular the collapse of term interbank markets – reflect deeply entrenched perceptions of counterparty risk. Prompt and far-reaching action to support the financial system, in particular the infusion of equity capital in financial institutions to reduce counter-party risk and get credit to flow again, is essential in order to restore market functioning. A particular risk at present is that the rapid decline in inflation in many countries in recent months will turn into deflation with highly adverse real economic developments. This background paper considers how large the risk of deflation may be and discusses what policy can do to reduce it. It is organized as follows. Section 2 defines deflation and discusses downward nominal wage rigidities and the zero lower bound on interest rates. While these factors are frequently seen as two reasons why deflation can be associated with very poor economic outcomes, they should not be overemphasized. Section 3 looks at the current situation. Inflation expectations and forecasts in the subset of economies we look at (the euro area, the UK and the US) are positive, indicating that deflation is not expected. This does not imply that the current concerns of deflation are unwarranted, only that the public expects the central bank to be successful in avoiding deflation. The section also looks at the evolution of headline and “core” inflation, focusing on data from the US and the euro area. Section 4 reviews how monetary and fiscal policy can be conducted to ensure that deflation is avoided. Section 5 briefly discusses special issues arising in emerging market economies. Finally, Section 6 offers some conclusions. An Appendix discusses deflation episodes in the period 1882-1939.