The expected real yield and inflation components of the nominal yield curve

The term structure of real yields and expected inflation are two unobserved components of the nominal yield curve. The primary objectives of this study are to decompose nominal yields into their expected real yield and inflation components and to examine their behaviour using state-space and regime-switching frameworks. The dynamic yield-curve models capture three well-known latent factors – level, slope, and curvature – that accurately aggregate the information for the nominal yields and the expected real and inflation components for all maturities. The nominal yield curve is found to increase slightly with a slope of about 120 basis points, while the real yield curve slopes upward by about 20 basis points, and the expected inflation curve is virtually flat at slightly above 2 per cent. The regime-switching estimations reveal that the nominal yield, real yield and expected inflation curves have shifted down significantly since 1999.     

The London Business School with Gower Publishing

With the benefit of hindsight, we can see that the course of the world economy in 1988 was a product not so much of the stock market crash of October 1987 but of the reaction to the crash. Monetary policy and to a lesser extent fiscal policy were eased and consumer spending responded to cuts in interest rates and rising real incomes. With the world recovery in its sixth year, capacity pressures began to emerge and investment also boomed, helped by a lower cost of capital. As a result of this strong private sector demand, OECD output increased 4 per cent in 1988 as a whole and industrial production and world trade rose even more rapidly. Against the background of buoyant demand and output, inflationary fears have resurfaced. Since the spring monetary authorities in most countries have been tightening policy, raising interest rates by early 1989 above the levels which helped bring about the stock market crash. Their aim is to effect a slowdown in demand before a significant upward movement in inflation and inflationary expectations takes hold. In our judgement the present policy stance will achieve its aim of a "soft landing" for the world economy. The pick-up in world inflation is contained below 5 per cent and by the second half of this year inflation eases, paving the way for a relaxation of monetary policy. Output growth slows from 4 per cent to 3 percent in 1989 and 2 per cent in 1990, picking up again as interest rates are lowered in 1991–2.     

International linkages between short-term real interest rates

Whereas previous studies have focused on the causal relation between nominal interest rates, this paper examines causal relationships between real rates for the United States and six other countries. Based on evidence from our full sample we find that U.S. and foreign interest rates are not highly informative for one another. This would suggest that even if the United States is regarded as a large player in international financial markets this does not necessarily translate into the transmission of U.S. real interest rates to other countries. However, an examination of various sub-periods of our sample reveals that this conclusion may be sensitive to the U.S. monetary policy regime. We also report results for linkages between European countries which indicate that Germany provides some information on real interest rates in France and the United Kingdom, but not in Italy. An analysis of various sub-periods for the European countries show that the result for France is not robust, with German rates having an impact only in the first period through March 1983. This latter evidence does not provide strong support for the hypothesis that Germany's monetary policy plays a dominant role in the European Monetary System. In general, we would argue that domestic factors play a prominent role in determining real interest rates, quite independently from the influence of interest rates from abroad.     

Forecasting U.S. money growth using economic uncertainty measures and regularisation techniques

This paper examines the out-of-sample forecasting properties of six different economic uncertainty variables for the growth of the real M2 and real M4 Divisia money series for the U.S. using monthly data. The core contention is that information on economic uncertainty improves the forecasting accuracy. We estimate vector autoregressive models using the iterated rolling-window forecasting scheme, in combination with modern regularisation techniques from the field of machine learning. Applying the Hansen-Lunde-Nason model confidence set approach under two different loss functions reveals strong evidence that uncertainty variables that are related to financial markets, the state of the macroeconomy or economic policy provide additional informational content when forecasting monetary dynamics. The use of regularisation techniques improves the forecast accuracy substantially.     

The Dollar, the Oil Price and Policy Divergence

There is currently a clear divergence of policy between the United States, Japan and Germany. With the US in recession and concern growing over the severity of the slump, interest rates have been cut in a move to revive the economy. In contrast Japan and Germany are both experiencing strong growth and monetary policy remains tight to combat inflation. This divergence was seen most clearly when the Federal Reserve Board lowered its discount rate to 6 per cent on 1 February, the day after the Bundesbank had raised its Lombard rate to 9 per cent. With G7 increasingly concerned about domestic factors, less emphasis is placed upon stable exchange rates and as a result the dollar is at an all-time low. The last two G7 communiqués have stressed ‘stability oriented monetary policies’, an ambiguous phrase which fails to define ‘stability’ either in terms of exchange rates, inflation or growth. Thus both the German and Japanese policy of high interest rates to reduce inflation and low US interest rates aimed at stimulating the economy can be termed as ‘stability oriented’. This analysis focuses on these divergent policy responses in two alternative scenarios to the world forecast we presented last month. The first scenario considers what might happen if the Federal Reserve Board were to stimulate the US economy by further cuts in interest rates, whilst Japanese and German rates were unchanged in the face of inflationary pressures. This case may be relevant if the recent US loosening of monetary policy is not sufficient to encourage growth because of a ‘credit crunch’, so that a more expansionary policy is required by the Fed. As a consequence, policy diverges further and the dollar weakens. The second scenario focuses upon a reduction in inflationary pressures in Japan and Germany brought about by an oil price fall. In this case we assume that US policy is already loose enough to avoid a prolonged recession, but that German and Japanese monetary policy is relaxed as inflationary forces recede. In this case policies converge. Each scenario thus concentrates on one of !he two features which are causing the policy divergence amongst G3 countries: recession in the US, inflation in Germany and Japan.     

Intelligible factors for the yield curve

We construct a factor model of the yield curve and specify time series processes for these factors, so that the innovations are mutually orthogonal. At the same time, the factors are such that they assume clear, intuitive interpretations. The resulting “intelligible factors” should prove useful for investment professionals to discuss expectations about yield curves and the implied dynamics. Moreover, they allow us to distinguish announced changes of the monetary policy stance versus monetary policy surprises, which we find to be rare. We identify two such events, namely September 11, 2001, and the Fed reaction to the sub-prime crisis of 2007.     

GDP trend deviations and the yield spread: the case of eight E.U. countries

Several studies have established the predictive power of the yield curve in terms of real economic activity. In this paper we use data for a variety of E.U. countries: both EMU (Germany, France, Italy, Portugal and Spain) and non-EMU members (Norway, Sweden and the U.K.). The data used range from 1991:Q1 to 2009:Q3. For each country, we extract the long run trend and the cyclical component of real economic activity, while the corresponding ECB euro area government benchmark bond interest rates of long and short term maturities are used for the calculation of the yield spreads. We also augment the models tested with non monetary policy variables: the respective unemployment rates and stock indices. The methodology employed in the effort to forecast real output, is a probit model of the inverse cumulative distribution function of the standard distribution, using several formal forecasting and goodness of fit evaluation criteria. The results show that the yield curve augmented with the non-monetary variables has significant forecasting power in terms of real economic activity but the results differ qualitatively between the individual economies examined raising non-trivial policy implications.     

Are financial spreads useful indicators of future inflation and output growth in EU countries?

This paper seeks to address the policy issue of the usefulness of financial spreads as indicators of future inflation and output growth in the countries of the European Union, placing a particular focus on out-of-sample forecasting performance. Such analysis is of considerable relevance to monetary authorities, given the breakdown of the money/income relation in a number of countries and following increased emphasis of domestic monetary policy on control of inflation following the broadening of the ERM bands. The results confirm that for some countries, financial spread variables do contain some information about future output growth and inflation, with the yield curve and the reverse yield gap performing best. However, the relatively poor out-of-sample forecasting performance and/or parameter instability suggests that the need for caution in using spread variables for forecasting in EU countries. Only a small number of spreads contain information, and improve forecasting in a manner which is stable over time. © 1997 John Wiley & Sons, Ltd.     

How effective is monetary transmission in low-income countries? A survey of the empirical evidence

This paper surveys the evidence on the effectiveness of monetary transmission in low-income countries. It is hard to come away from this review with much confidence in the strength of monetary transmission in such countries. We distinguish between the “facts on the ground” and “methodological deficiencies” interpretations of the absence of evidence for strong monetary transmission. We suspect that “facts on the ground” are an important part of the story. If this conjecture is correct, the stabilization challenge in developing countries is acute indeed, and identifying the means of enhancing the effectiveness of monetary policy in such countries is an important challenge.     

On credit and output: Is the supply of credit relevant?

The consensus that changes in the supply of credit were irrelevant to making monetary policy decisions existed among macroeconomists during the second half of the twentieth century. Transmission of shocks to the real economy through changes in the supply of credit, however, played an important role in the recent U.S. financial crisis. This paper explores the extent to which policymakers should consider changes in the supply of credit when making forecasts and monetary policy decisions. More specifically, it considers whether a measure of real credit balances offers consistent and stable information, beyond that of a real interest rate and real money balances, about future output gaps during the U.S. post-war era. Results yield evidence that changes in real credit balances are the only variable, among those considered, to provide consistent and stable information about future output gaps over the entire sample period. Each information variable, however, provides relatively little value added for forecasting future output gaps, beyond a simple autoregressive model. To improve upon forecasts and monetary policy decisions, policymakers therefore should consider a broader range of information variables and occasionally reassess the relative weightings assigned to each.     

Economic Viewpoint Bringing Counter-Inflation Policy Back on Course

There is no doubt that the monetary limit for the first year of the Government's Medium-Term Financial Strategy will be grossly exceeded, The reported figure for sterling M3 is likely to show a growth of 16 per cent to 18 per cent for the financial year compared with the upper limit of 11 per cent. This is a setback for the government's counter-inflationary policy but not a disaster. The likely overshoot can be largely (but not completely) explained by the removal of the Bank of England's Supplementary Special Deposits Scheme (the corset). Its significance is best understood if we re-examine monetary history since June 1978. (when the corset was imposed). A reasonable interpretation is that the money supply has effectively been growing at an annual rate of 15 to 16 per cent for the past three years (Details are shown in Table 4 on p. 12.) In retrospect it can be said that last year's monetary policy (but not that of the previous two years) was defensible in the light of the shock to prices caused by the oil price rise and the increase in VAT. We did in fact argue in Economic Outlook of June/July 1979 (“Price Shocks and the Economy”) that if the UK'S past record of monetary control had been better we would advocate a relaxation of monetary policy to accommodate these shocks. In the event monetary policy was relaxed (albeit unintentionally) and the squeeze on the real money supply was less severe than appeared at the time. However, there must be a steady reduction in monetary growth from now onwards if the government is to maintain its current progress in reducing inflation. We believe that such a policy is feasible and will be successful However the government must stick to the fiscal policy set out in the Medium Term Financial Strategy (MTFS). Our preliminary estimates suggest that, if Current public expenditure plans are fulfilled, there may be little or no scope for a reduction in personal taxation in 1981-82. Further ahead, the danger point, on past experience, will be 1983 when the economy should be on a strong path of recovery and inflation should be well below current rates. That is the point at which upward pressures on the money supply are likely to reappear and will have to be resisted     

MACRO‐FINANCE LINKAGES

In this survey, I review the academic and policy‐oriented literature on the linkages between financial markets and the rest of the economy. First, I summarize the leading economic theories for why the financial sector can influence the macroeconomy. Second, I consider empirical research on spillovers from the financial sector to the rest of the economy, as well as across financial markets in different countries. Third, I discuss key monetary policy debates regarding the appropriate response of central banks to financial conditions. Finally, I conclude with an overview of the major gaps in the existing literature.     

Term structure surprises: the predictive content of curvature,level, and slope

This paper analyzes the predictive content of the term structure components level, slope, and curvature within a dynamic factor model of macroeconomic and interest rate data. Surprise changes of the three components are identified using sign restrictions, and their macroeconomic underpinnings are studied via impulse response analysis. The curvature factor is found to carry predictive information both about the future evolution of the yield curve and the macroeconomy. In particular, unexpected increases of the curvature factor precede a flattening of the yield curve and announce a significant decline of output more than 1 year ahead. Copyright © 2010 John Wiley & Sons, Ltd.     

Do Good Institutions Promote Countercyclical Macroeconomic Policies?

The literature has argued that developing countries are unable to adopt countercyclical monetary and fiscal policies due to financial imperfections and unfavourable political‐economy conditions. Using a world sample of up to 112 industrial and developing countries for 1984–2008, we find that the level of institutional quality plays a key role in countries’ ability and willingness to implement countercyclical macroeconomic policies. Countries with strong (weak) institutions adopt countercyclical (procyclical) macroeconomic policies, reflected in extended monetary policy and fiscal policy rules. The threshold levels of institutional quality at which policies are acyclical are found to be similar for monetary and fiscal policy.     

Structural evolution of the postwar U.S. economy

We consider a time-varying parameter vector autoregressive model with stochastic volatility and mixture innovations to study the empirical relevance of the Lucas critique for the postwar U.S. economy. The model allows blocks of parameters to change at endogenously estimated points of time. Contrary to the Lucas critique, there are large changes at certain points of time in the parameters associated with monetary policy that do not correspond to changes in “reduced-form” parameters for inflation or the unemployment rate. However, the structure of the U.S. economy has evolved considerably over the postwar period, with an apparent reduction in the late 1980s in the impact of monetary policy shocks on inflation, though not on the unemployment rate. Related, we find changes in the Phillips curve tradeoff between inflation and cyclical unemployment (measured as the deviation from the time-varying steady-state unemployment rate implied by the model) in the 1970s and especially since the mid-1990s.     

The asymmetric effects of U.S. large-scale asset purchases on the volatility of the Canadian dollar futures market

This paper investigates the asymmetric effects of U.S. large-scale asset purchases on the volatility of the Canadian dollar futures market. This approach is innovative in so far as it examines the effects of allowing two-round impacts to differ in our settings of dynamic volatility with time-varying jump intensity because the world economic situation differs during periods of large-scale asset purchases. Utilizing the daily futures price of the exchange rate for the Canadian dollar against the U.S. dollar, the empirical findings show that U.S. large-scale asset purchases have significant asymmetric effects on the volatility of the Canadian dollar futures market. Two kinds of asymmetry are observed. Firstly, the impact of large-scale asset purchases is smaller in the first round of the large-scale asset purchases than in the second round. Secondly, an expansionary policy causes higher volatility in the Canadian dollar futures market than does a contractionary policy due to a signal of high liquidity.     

Assessing the effects of U.S. shocks on the Canadian economy using alternative identification methods

This paper investigates the extent of the transmission of U.S. supply and demand shocks to the Canadian economy using three different identification methods. Our findings are robust across identifications. We show that over the flexible exchange rate period, U.S. shocks tend to intensify Canadian business cycles, while they reduce the mean of Canadian prices and inflation. We also find that overall Canadian output is less sensitive to U.S. disturbances than found in earlier studies. Moreover, when the structural shocks are allowed to be correlated across countries, Canadian shocks explain around 18% of U.S. real GDP growth long run forecast error variance.     

参数不稳定下利差在宏观经济与货币政策中的应用

本文在参数不稳定的情况下考察利差对通货膨胀、经济增长的信息作用,并分析包含利差的混合货币政策规则。基于贝叶斯区制转移模型（MSBVAR）的分析发现：期限利差和信用利差对通货膨胀、经济增长有影响,宏观经济波动使得利差的信息作用存在参数不稳定性,在经济下行时对经济增长有负向信号作用。信用利差对通胀的预测作用比期限利差对通胀的预测作用更强。期限利差和信用利差都在货币政策规则中有参数不稳定性的信息作用。     

Corporate bond market interdependence: Credit spread correlation between and within U.S. and Canadian corporate bond markets

This study investigates the correlation and interdependence between and within the U.S. and Canadian corporate bond markets. The empirical framework adopted allows credit spreads to depend on common systematic risk factors derived from structural models and incorporates dynamic conditional correlations (DCC) between spreads. Results show that there is a surprisingly weak correlation between the two markets in normal times. However, during crises, there is a sudden and strong increase in the correlation between U.S. and Canadian credit spreads. The analysis of credit spread correlation within each market also shows an unusual increase in credit spread correlations between sectors and between risk classes in the U.S. during the 2007–2009 global financial crisis. This increase persists over the post-crisis period. By contrast, in Canada, credit spread correlations between sectors remain remarkably stable over time, suggesting an interdependence of credit spreads within the Canadian market.     

Yield curve responses to market sentiments and monetary policy

Central banks recently started to target longer term interest rates. The empirical failure of the rational expectations theory of the yield curve, however, limits its applicability to monetary policy analysis. The success of agent-based behavioral asset pricing models and behavioral macroeconomic models in replicating statistical regularities of empirical data series motivates to apply them to yield curve modeling. This paper analyses how the interaction of monetary policy and market sentiments shape the yield curve in a behavioral model with heterogeneous and bounded-rational agents. One result is that the behavioral model replicates empirical facts of term structure data. Moreover, it overcomes one major deficiency of rational expectations models of the yield curve in explaining the empirically observed uncertain responses of longer term yields to changes in the central bank rate. These are explained by the behavioral model’s ability to generate different responses of market sentiments to shocks at different times which lead to a variety of interest rate responses. Further results of this paper can be used as policy advice on how central banks can target the level, slope and curvature of the yield curve by targeting market sentiments about inflation and the business cycle.