How do large multinational companies implement open innovation?

This paper addresses a major gap in reported research on open innovation (OI): how do companies implement open innovation? To answer this question a sample of 43 cross-sector firms were reviewed for their OI implementation approaches. The study analyzed how firms moved from practising closed to open innovation, classifying the adoption path according to the impetus for the adoption of the OI paradigm and the coordination of the OI implementation. The way firms adopted OI was found to vary according to (1) their innovation requirements, (2) the timing of the implementation and (3) their organizational culture.     

Realized volatility forecasting and market microstructure noise

We extend the analytical results for reduced form realized volatility based forecasting in ABM (2004) to allow for market microstructure frictions in the observed high-frequency returns. Our results build on the eigenfunction representation of the general stochastic volatility class of models developed byMeddahi (2001). In addition to traditional realized volatility measures and the role of the underlying sampling frequencies, we also explore the forecasting performance of several alternative volatility measures designed to mitigate the impact of the microstructure noise. Our analysis is facilitated by a simple unified quadratic form representation for all these estimators. Our results suggest that the detrimental impact of the noise on forecast accuracy can be substantial. Moreover, the linear forecasts based on a simple-to-implement ‘average’ (or ‘subsampled’) estimator obtained by averaging standard sparsely sampled realized volatility measures generally perform on par with the best alternative robust measures.     

Dynamic estimation of volatility risk premia and investor risk aversion from option-implied and realized volatilities

This paper proposes a method for constructing a volatility risk premium, or investor risk aversion, index. The method is intuitive and simple to implement, relying on the sample moments of the recently popularized model-free realized and option-implied volatility measures. A small-scale Monte Carlo experiment confirms that the procedure works well in practice. Implementing the procedure with actual S&P500 option-implied volatilities and high-frequency five-minute-based realized volatilities indicates significant temporal dependencies in the estimated stochastic volatility risk premium, which we in turn relate to a set of macro-finance state variables. We also find that the extracted volatility risk premium helps predict future stock market returns.     

Denationalised Savings? The Folly of the Capital Bond

What justification is there for a special Department of National Savings? Tim Lund of Chase Manhattan Securities, argues that the sale of National Savings, including the new Capital Bond, should be privatised.     

Will the Lawson Boom Cause as Much Inflation as the Barber Boom?

The parallels between the Lawson and Barber booms are uncomfortably close. Tim Conqdon reviews the evidence and concludes that Mr Law-son's legacy of inflation will be less than that of Lord Barber.     

International Benchmarking for Monopoly Price Regulation: The Case of Australian Gas Distribution

Price-cap regulation is widely applied to network industries. However, regulators often encounter the problem of asymmetric information on efficient costs. Benchmarking can help reduce this problem. We present a benchmarking analysis, conducted for an Australian regulator, that derives measures of efficiency for Australian gas distributors relative to U.S. counterparts. Several techniques, such as data envelopment analysis and stochastic frontier analysis, are used to ensure that our measures are robust to methodology choice. We conclude with a discussion of how the regulator used the benchmarking results, along with other information, to help it determine appropriate price caps.