Model-based estimates of future uncertainty are generally based on the in-sample fit of the model, as when Box-Jenkins prediction intervals are calculated. However, this approach will generate biased uncertainty estimates in real time when there are data revisions. A simple remedy is suggested,...

We find that model estimates of the term structure of ex ante or perceived macro uncertainty are more in line with realized uncertainty than survey respondents’ perceptions for both inflation and output growth. Survey estimates contain short-term vari- ation in short-horizon uncertainty which...

We consider whether imposing long-run restrictions on survey respondents’ long-horizon forecasts will enhance their accuracy. The restrictions are motivated by the belief that the macro-variables consumption, investment and output move together in the long run, and that this should be evident...

The effects of data uncertainty on real-time decision-making can be reduced by predicting early revisions to US GDP growth. We show that survey forecasts efficiently anticipate the first-revised estimate of GDP, but that forecasting models incorporating monthly economic indicators and daily...

Application of the Bernhardt, Campello and Kutsoati (2006) test of herding to the calendar-year annual output growth and inflation forecasts suggests forecasters tend to exaggerate their differences, except at the shortest horizon when they tend to herd. We consider whether these types of...

We examine the impact of board diversity on both the corporate value and equity risk of British companies since the financial crisis. We find that the inclusion of overseas directors on boards improves market value and reduces equity risk. When the number of female directors included on the...

Different theoretical and numerical methods for calculating the fair-value of a variance swap give rise to systematic biases that are most pronounced during volatile periods. For instance, differences of 10-20 percentage points would have been observed on fair-value index variance swap rates...

We consider a number of ways of testing whether macroeconomic forecasters herd or anti-herd, i.e., whether they shade their forecasts towards those of others or purpose- fully exaggerate their differences. When applied to survey respondents expectations of inflation and output growth the tests...

Most research on option hedging has compared the performance of delta hedges derived from different stochastic volatility models with Black-Scholes-Merton (BSM) deltas, and in particular with the `implied BSM’ model in which an option’s delta is based on its own market implied volatility....

This paper explores the properties of random orthogonal matrix (ROM) simulation when the random matrix is drawn from the class of rotational matrices. We describe the characteristics of ROM simulated samples that are generated using random Hessenberg, Cayley and exponential matrices and compare...