Decomposing household,professional and market forecasts on inflation: a dynamic factor model analysis

A dynamic factor model with stochastic volatility is used to investigate the relationships between three alternative measures of inflation expectations. The results show evidence of both a common time-varying trend and a common transitory component between inflation and short-term inflation expectations from households, professionals and markets. While the common time-varying trend has declined in both level and volatility since the early 1980s, it was found that consumer expectations are disproportionately influenced by the visibility of prices of select few goods. Roughly speaking, a 1% point increase in food and energy prices leads to about 1/3% point increase in consumer forecasts of inflation. In terms of policymaking, this finding suggests that stability in highly visible prices can moderate inflation in a meaningful way.     

Oil prices and the macroeconomy reconsideration for Germany: Using continuous wavelet

The cross wavelet analysis is used in the study to decompose the time–frequency effects of oil price changes on the German macroeconomy. We argue that the relationship between oil prices and industrial production is ambiguous. Our results show that there are both phase and anti-phase relationships between oil price returns and inflation and in most of the cases inflation is the leading variable. Additional evidence shows that there is a huge inconsistency between the phase-difference of the return series of oil price and industrial production at the 12–16 month frequency bands but at the 16–24 month frequency bands, we find that oil price changes that have occurred during 1982–2009 were demand-driven. In a nutshell our results suggest that oil price changes that have occurred after 1994 were demand-driven and the volatility of the inflation rate started to decrease after the 1990s but the volatility of the industrial output growth rate started to decrease after the 2000s.     

The evolution of inflation expectations in Canada and the US

We model inflation forecasts as monotonically diverging from an estimated long‐run anchor point towards actual inflation as the forecast horizon shortens. Fitting the model with forecaster‐level data for Canada and the US, we identify three key differences between the two countries. First, the average estimated anchor of US inflation forecasts has tended to decline gradually over time in rolling samples, from 3.4% for 1989–1998 to 2.2% for 2004–2013. By contrast, it has remained close to 2% since the mid‐1990 for Canadian forecasts. Second, the variance of estimates of the long‐run anchor is considerably lower for the panel of Canadian forecasters than US ones following Canada's adoption of inflation targets. And third, forecasters in Canada look much more alike than those in the US in terms of the weight that they place on the anchor. One explanation for these results is that an explicit inflation‐targeting regime (Canada) provides for less uncertainty about future monetary policy actions than a monetary policy regime where there was no explicit numerical inflation target (the US before 2012) to anchor expectations.     

ARE LONG‐TERM INFLATION EXPECTATIONS WELL‐ANCHORED? EVIDENCE FROM THE EURO AREA AND THE UNITED STATES

This paper analyses the stability of long‐term inflation expectations and uncertainty, based on their sensitivity to innovations to observed inflation, short‐ and medium‐term forecast news. News is defined in a subjective sense and derived from revisions to shorter‐term fixed‐target forecasts. The assessment tests for presence of non‐linear effects, including regime changes during disinflation in the USA in the 1990s and the recent financial crisis. Stability is also investigated in terms of level evolution, based on a structural non‐linear and non‐Gaussian learning model to uncover the presence of a common trend underlying the long‐term dynamics of inflation, individual expectations, and uncertainty.     

The inflation and inflation uncertainty relationship for Turkey: a dynamic framework

This article assesses the interaction between inflation and inflation uncertainty in a dynamic framework for Turkey by using monthly data for the time period 1984–2009. The bulk of previous studies investigating the link between inflation and inflation uncertainty employ Autoregressive Conditional Heteroskedasticity (ARCH)-type models, which consider inflation uncertainty as a predetermined function of innovations to inflation specification. The stochastic volatility in mean (SVM) models that we use allow for gathering innovations to inflation uncertainty and assess the effect of inflation volatility shocks on inflation over time. When we assess the interaction between inflation and its volatility, the empirical findings indicate that response of inflation to inflation volatility is positive and statistically significant. However, the response of inflation volatility to inflation is negative but not statistically significant.     

过剩产能与通货膨胀的关系分析——基于包含随机波动的TVP模型考察

为了更准确的考察目前中国的过剩产能与通货膨胀的关系,本文构造了一个包含随机波动的TVP模型对中国通货膨胀与产出缺口间的关系进行了实证分析,实证结果表明:中国通货膨胀的随机波动程度有不断增强的趋势;产出缺口对通货膨胀的影响力度有不断减弱的趋势;改善经济发展的结构性矛盾、提高供给部门的效率是实现价格稳定下经济快速增长的根本途径.     

MODEL UNCERTAINTY AND EXCHANGE RATE VOLATILITY*

This article proposes an explanation for shifts in the volatility of exchange‐rate returns. Agents are uncertain about the true data generating model and deal with this uncertainty by making inference on the models and their parameters' approach, I call model learning. Model learning may lead agents to focus excessively on a subset of fundamental variables. Consequently, exchange‐rate volatility is determined by the dynamics of these fundamentals and changes as agents alter models. I investigate the empirical relevance of model learning and find that the change in volatility of GBP/USD in 1993 was triggered by a shift between models.     

Has the 2008 financial crisis and its aftermath changed the impact of inflation on inflation uncertainty in member states of the european monetary union?

We study to what extent the financial crisis of 2008 and its aftermath have changed the impact of inflation on inflation uncertainty in the 12 original member states of the European Monetary Union (EMU). We adopt a time‐varying coefficient regression model with stochastic volatility effects, and extract two measures of inflation uncertainty from our data, namely, (1) The conditional volatility of inflation, (2) The conditional volatility of steady‐state inflation. (1)–(2) represent short‐run and steady‐state inflation uncertainty, respectively. The time‐varying impact of inflation on inflation uncertainty is analyzed using Markov‐switching regressions, where switching between the low and high inflation uncertainty regime is determined via an unobserved Markov process. Results suggest that the 2008 financial crisis and its aftermath have changed the impact of inflation on (1) and (2) across the selected EMU member states. However, a uniform pattern cannot be detected. For some member states, we document a strong link, whereas for others, the impact of inflation on inflation uncertainty is relatively weaker.     

On the reduced macroeconomic volatility of the Australian economy: Good policy or good luck?

The Australian economy has experienced various changes in macroeconomic conditions over the past four decades. These changes have been associated with reduced volatility in key macroeconomic variables: CPI inflation, real GDP and the TWI measured real exchange rate. In light of this fact, my objective in this paper is to determine whether this reduction is associated with good policy or good luck. To this end, I estimate a time varying structural VAR model that is identified with theoretically consistent sign restrictions from a small open economy dynamic stochastic general equilibrium model. The primary result is that both non-systematic and systematic monetary policy have changed over the past four decades. In particular, non-systematic responses of inflation, real GDP and the exchange rate have increased since the adoption of a flexible exchange rate in 1983, while systematic responses of the cash rate to inflation have experienced various changes in intensities, exhibiting a trend towards a more passive behaviour since the 2007/08 financial crisis. Taken together, these results suggest that the reduction in macroeconomic volatility is associated with good policy.     

Time-varying U.S. inflation dynamics and the New Keynesian Phillips curve

This paper introduces a form of boundedly-rational inflation expectations in the New Keynesian Phillips curve. The representative agent is assumed to behave as an econometrician, employing a time series model for inflation that allows for both permanent and temporary shocks. The near-unity coefficient on expected inflation in the Phillips curve causes the agent's perception of a unit root in inflation to become close to self-fulfilling. In a “consistent expectations equilibrium,” the value of the Kalman gain parameter in the agent's forecast rule is pinned down using the observed autocorrelation of inflation changes. The forecast errors observed by the agent are close to white noise, making it difficult for the agent to detect a misspecification of the forecast rule. I show that this simple model of inflation expectations can generate time-varying persistence and volatility that is broadly similar to that observed in long-run U.S. data. Model-based values for expected inflation track well with movements in survey-based measures of U.S. expected inflation. In numerical simulations, the model can generate pronounced low-frequency swings in the level of inflation that are driven solely by expectational feedback, not by changes in monetary policy.     

货币增长不确定性与通货膨胀不确定性——“波动溢出”假说与实证检验

文章基于通货膨胀——通货膨胀不确定性关系的理论研究,提出货币增长不确定性向通货膨胀不确定性波动溢出的计量检验假说,并利用中国数据,运用多元GARCH模型进行实证检验。结果发现,存在货币增长不确定性显著向通货膨胀不确定性波动溢出的效应。这意味着,货币增长不确定性具有提供有关预测通货膨胀不确定性信息的能力。同时也表明,货币增长不确定性是通货膨胀不确定性的重要解释变量,其重要性不应被忽视。实证结论的政策含义是:减少货币增长不确定性是降低通货膨胀不确定性的重要途径,我国20世纪90年代中后期稳健的货币政策所带来的通货膨胀不确定性显著降低的现实支持了这个观点。     

ADAPTIVE LEARNING AND MONETARY POLICY IN AN OPEN ECONOMY: LESSONS FROM JAPAN

Abstract. Motivated by Japan's economic experiences in recent decades, we incorporate adaptive learning into an open economy dynamic stochastic general equilibrium model to examine the volatility and welfare impact of alternative monetary policies. Comparing four Taylor‐styled policy rules that reflect Japan's monetary policy debates, we first show that imperfect knowledge and the associated learning process induce higher volatility in the economy and that explicit exchange rate stabilization is unwarranted. Moreover, contrary to results under the rational expectation paradigm, we find that while tight inflation controls raise output volatility, they can improve overall welfare under learning by smoothing inflation fluctuations.     

LEARNING AND THE GREAT MODERATION*

We study a stylized theory of the volatility reduction in the U.S. after 1984—the Great Moderation—which attributes part of the stabilization to less volatile shocks and another part to more difficult inference on the part of Bayesian households attempting to learn the latent state of the economy. We use a standard equilibrium business cycle model with technology following an unobserved regime‐switching process. After 1984, according to Kim and Nelson (1999a), the variance of U.S. macroeconomic aggregates declined because boom and recession regimes moved closer together, keeping conditional variance unchanged. In our model this makes the signal extraction problem more difficult for Bayesian households, and in response they moderate their behavior, reinforcing the effect of the less volatile stochastic technology and contributing an extra measure of moderation to the economy. We construct example economies in which this learning effect accounts for about 30% of a volatility reduction of the magnitude observed in the postwar U.S. data.     

Trend inflation estimates for Thailand from disaggregated data

This paper constructs a new trend inflation measure for Thailand based on the multivariate unobserved components model with stochastic volatility and outlier adjustments (MUCSVO) of Stock and Watson (2016). Similar to core inflation, the MUCSVO produces an estimate of trend inflation utilizing information in disaggregated data, but also allows for time-varying weights that depend on the volatility, persistence and comovement of the underlying sectoral inflation series. Based on the empirical results, the majority of sectoral weights show significant time-variation in contrast to their relatively stable expenditure shares. Volatile food and energy sectors that are typically excluded from core inflation measures also turn out to help explain approximately 10 percent of MUCSVO trend inflation rate movements. Compared against other benchmark trend inflation measures, we show that the MUCSVO delivers trend estimates that are smoother, more precise, and are able to forecast average inflation over the 1–3 year horizon more accurately both in-sample and out-of-sample, especially since the year 2000.     

The role of macroeconomic and policy uncertainty in density forecast dispersion

We explore empirically the role of macroeconomic and policy uncertainty in explaining dispersion in professional forecasters’ density forecasts, and in explaining individual forecaster uncertainty (defined as the uncertainty expressed by individual forecasters in their density forecasts). We focus on US real output growth and inflation, using data from the Philadelphia Fed's quarterly Survey of Professional Forecasters (SPF), 1992-2016. We find that dispersion in individual density forecasts is related to macroeconomic uncertainty, especially in longer horizon forecasts, but not policy or forecaster uncertainty. There is also little evidence that forecaster uncertainty reflects macroeconomic or policy uncertainty.     

Internal rationality, imperfect market knowledge and asset prices

We present a decision theoretic framework in which agents are learning about market behavior and that provides microfoundations for models of adaptive learning. Agents are ‘internally rational’, i.e., maximize discounted expected utility under uncertainty given dynamically consistent subjective beliefs about the future, but agents may not be ‘externally rational’, i.e., may not know the true stochastic process for payoff relevant variables beyond their control. This includes future market outcomes and fundamentals. We apply this approach to a simple asset pricing model and show that the equilibrium stock price is then determined by investors? expectations of the price and dividend in the next period, rather than by expectations of the discounted sum of dividends. As a result, learning about price behavior affects market outcomes, while learning about the discounted sum of dividends is irrelevant for equilibrium prices. Stock prices equal the discounted sum of dividends only after making very strong assumptions about agents? market knowledge.     

Is time-variant information stickiness state-dependent?

This paper estimates information stickiness with regard to inflation expectations in the United States and the Eurozone for the 1981/06–2015/12 and 1998/Q4–2015/Q2 periods, respectively, and further investigates whether such information stickiness is state-dependent. Based on a bootstrap sub-sample rolling-window estimation, we find that information stickiness varies over time, which contradicts the strict time dependency implied under sticky-information theory. We provide evidence that information stickiness depends on inflation volatility, which indicates that information stickiness is state-dependent and that it has a time trend. Using a threshold model, we estimate structural changes in the state-dependence and time-trend of information stickiness. The results show that information stickiness has been more dependent on inflation volatility and has had a higher time-trend in both regions following the 2008 financial crisis.     

Integrating bank profit and risk-avoidance decisions for selected European countries: A micro–macro analysis

A two-equation integrated model is developed to capture bank profit and risk-avoidance decisions. Output is limited to customer loans. The profit function is based on output and selected inputs. Risk-avoidance (using the capitalization ratio) depends on micro and micro 1 macro interactive variables. The SUR method is used to test the hypothesis that the two functions are interdependent. Also, a single reduced-form equation is derived from the SUR model to analyze the volatility of the capitalization ratio. Five European countries and their banks for the period 1991–2001 are used to run the regressions and to test the hypothesis. The individual statistical results were generally consistent with similar results found in the literature. The Breusch–Pagan test of independence was rejected. A key finding from the volatility analysis suggests that bank profit rates are inversely related to the volatility of the banks' capitalization ratios as measured by their variances.     

Welfare cost of inflation in a stochastic balanced growth model

There is a large and growing literature on the welfare cost of inflation. However, work in this area tend to find moderate estimates of welfare gains. In this paper we reexamine welfare costs of inflation within a stochastic general equilibrium balanced growth model paying a particular attention to recursive utility, portfolio balance effects, and monetary volatility and monetary policy uncertainty. Our numerical analysis shows that a monetary policy that brings down inflation to the optimum level can have substantial welfare effects. Portfolio adjustment effects seem to be the dominant factor behind the welfare gains.     

The impacts of regime-switching structures and fat-tailed characteristics on the relationship between inflation and inflation uncertainty

A great of deal of study has explored the relationship between inflation and inflation uncertainty under the assumptions of normal distribution and no regime shift. This paper attempts to investigate whether changes in the specification of distribution specification and regime shifts will affect the inflation-uncertainty relationship. Empirical results show that these two factors have a vital effect on the inflation-uncertainty relationship. A specification with four states and the Student’s t distributed error terms can successfully describe the dynamics of the inflation rate. After taking the non-normal density and independent regime shifts into account, this paper finds that inflation uncertainty has no impact on inflation, regardless of inflation pressure. Inflation has a negative impact on inflation uncertainty during periods of high inflation volatility, while the impact of inflation on inflation uncertainty is insignificant during periods of low inflation volatility.