Evaluating the conditionality of judgmental forecasts

We propose a framework for evaluating the conditionality of forecasts. The crux of our framework is the observation that a forecast is conditional if revisions to the conditioning factor are incorporated faithfully into the remainder of the forecast. We consider whether the Greenbook, Blue Chip survey and Survey of Professional Forecasters exhibit systematic biases in the manner in which they incorporate interest rate projections into the forecasts of other macroeconomic variables. We do not find strong evidence of systematic biases in the three economic forecasts that we consider, as the interest rate projections in these forecasts appear to be incorporated efficiently into the forecasts of other economic variables.     

Properties of foreign exchange risk premiums

We study the properties of foreign exchange risk premiums that can explain the forward bias puzzle, defined as the tendency of high-interest rate currencies to appreciate rather than depreciate. These risk premiums arise endogenously from the no-arbitrage condition relating the term structure of interest rates and exchange rates. Estimating affine (multi-currency) term structure models reveals a noticeable tradeoff between matching depreciation rates and accuracy in pricing bonds. Risk premiums implied by our global affine model generate unbiased predictions for currency excess returns and are closely related to global risk aversion, the business cycle, and traditional exchange rate fundamentals.     

Aggregation in macroeconomic models: an empirical input–output approach

The aggregation level of industries in the Danish macroeconomic model ADAM is examined using a new indicator of aggregation bias. The indicator is decomposed into contributions from the original industries, thereby clearly identifying the aggregation problems which caused the six industry groups of the older versions of ADAM to be disaggregated into the current 19 groups. An aggregation key minimizing the new bias indicator is found: from the microlevel of 64 industries, 18 ‘optimal’ industry groups are formed through ‘clustering’; these groups are very similar to the current ADAM groups. Altogether, the conclusions based on the new indicator closely resemble those reached through years of practical experience.     

Rationally inattentive macroeconomic wedges

This paper argues that the solution to a dynamic optimization problem of consumption and labor under finite information-processing capacity can simultaneously explain the intertemporal and intratemporal labor wedges. It presents a partial equilibrium model where a representative risk adverse consumer chooses information about wealth with limited attention. The paper compares ex-post realizations of models with finite and infinite capacity. The model produces macroeconomic wedges and measures of elasticity consistent with the literature. These findings suggest that aconsumption-labor model with information-processing constraints can explain the difference between predicted and observed consumption and employment behavior.     

Macroeconomic effects of macroprudential policies: Evidence from LTV and DTI policies in Korea

This study investigates the effects of loan-to-value (LTV) and debt-to-income (DTI) policies on macroeconomic variables such as commodity price index (CPI) and industrial production (IP) and financial variables such as house price and household bank loan in Korea by employing a structural vector autoregression (VAR) model. We use measures of LTV and DTI regulations that properly reflect changes in regulation coverage and intensity. Empirical results show that LTV and DTI shocks have significant effects not only on house price and household bank loan but also on CPI and IP, particularly when both policies are implemented together. The effects of DTI shocks are similar to those of monetary policy shocks, but LTV and DTI shocks tend to have a slower effect on CPI and IP but a faster effect on house price and household bank loan.     

Hedge fund return higher moments over the business cycle

We investigate how macroeconomic and financial uncertainty impacts the behavior of hedge fund strategy higher moments—i.e., co-skewness and co-kurtosis—and their respective cross-sectional dispersions. Consistent with theoretical models, we find that strategy managers trade off these two higher moments when building optimal portfolios. Moreover, these trade-offs depend on the kind of strategy. Our experiments show that the VIX and its conditional variance are the most important factors affecting higher moment risk in the hedge fund industry. They also reveal that the behavior of hedge fund strategies is very asymmetric depending on the phase of the business cycle. In contrast to studies which rely on the mean-variance setting, we find that systemic risk—as measured by the cross-sectional dispersions of higher moments—tends to decrease in the low regime. The indicators of market volatility play a decisive role to explain this decline in systemic risk.     

Impact of Islamic banking development and major macroeconomic variables on economic growth for Islamic countries: Evidence from panel smooth transition models

This study examines the nonlinear relationship between Islamic banking development, major macroeconomic variables and economic growth in Islamic countries. Using the panel smooth transition model, the results show a positive nonlinear relationship between Islamic banking development and economic growth. Moreover, the relationship between the macroeconomic variables and economic growth is asymmetric and regime-dependent. Further, by using the dynamic panel quantile model, we show that for many cases the Islamic banking variables lead economic growth across the quantiles. More specifically, foreign direct investment, oil production and inflation have a positive impact on economic growth during the normal financial development state, while government consumption, one-lag economic growth, terms of trade and financial development have a negative impact on economic growth for this state. The human capital index, education and the rule of law have an insignificant impact, regardless of the prevailing regime. The results for the separated oil-importing and oil-exporting economies are generally consistent with the combined sample regarding the Islamic banking development variables. As for the macro variables, they have a positive and significant (insignificant) effect on EG for the oil-importing (oil-exporting) economies for almost all models.     

Macroeconomic news and market reaction: Surprise indexes meet nowcasting

Market operators monitor a massive flow of macroeconomic news every day and react to the unexpected component of each release. Can we replicate the market’s pricing of macroeconomic news automatically? This paper shows that a “Nowcasting Surprise Index”, constructed by aggregating forecast errors from a nowcasting model using model-based weights, resembles the surprise indexes proposed in the recent literature or constructed by practitioners, which cumulate survey-based forecast errors weighted by using the average effect of news on asset prices. This suggests that market operators and a nowcasting model filter the macroeconomic data flow similarly and confirms the link between news about macroeconomic indicators and asset prices. Moreover, the paper shows that recent cumulated news in macroeconomic data, which carry information about the underlying state of the economy, accounts for a non-negligible part of asset price behaviour.     

To tell the truth or the perceived truth: Structural estimation of peer effects in China’s macroeconomic forecast

This study investigates the strategic interactions among China’s professional macroeconomic forecasters in the context of a static game with incomplete information. Professional forecasters attempt to be more precise than their peers when they are uncertain about others’ ability to forecast, given their own ability to forecast macroeconomy. We then empirically estimate the peer effects using the two-step method proposed by Bajari et al. (2010). The results identify a pronounced peer effect among professional forecasters and specify the asymmetric peer effect exerted by prominent professional forecasters. The results remain valid through several robustness checks. The forecast customers must thus address the peer effects due to competition among professional forecasters when they use forecasting reports.