Sources of knowledge acquisition for Chinese software engineers

This research adopts a triangulation strategy based on ethnographic case study and questionnaire survey shedding light on how Chinese software engineers acquire codified and tacit knowledge in their daily development work. Software engineers make effective use of complementary resources within a broad spectrum of choices for seeking advice, learning how to solve technical problems, and transferring knowledge to the local community of practice from far beyond the organizational boundary. The analysis focuses on patterns of advice seeking relations within and across project team boundaries, also highlighting the Internet software technology forums as an important channel for technical information sharing across organizational boundaries. The implications for R&D managers are also discussed with special reference to software development and other knowledge intensive computer related work in China.     

ON THE SOURCES OF UNCERTAINTY IN EXCHANGE RATE PREDICTABILITY

In a unified framework, we examine four sources of uncertainty in exchange rate forecasting models: (i) random variations in the data, (ii) estimation uncertainty, (iii) uncertainty about the degree of time variation in coefficients, and (iv) uncertainty regarding the choice of the predictor. We find that models that embed a high degree of coefficient variability yield forecast improvements at horizons beyond one month. At the one‐month horizon, and apart from the standard variance implied by unpredictable fluctuations in the data, the second and third sources of uncertainty listed above are key obstructions to predictive ability. The uncertainty regarding the choice of the predictors is negligible.     

Confidence intervals of the premiums of optimal bonus malus systems

In view of the economic importance of motor third-party liability insurance in developed countries the construction of optimal BMS has been given considerable interest. However, a major drawback in the construction of optimal BMS is that they fail to account for the variability on premium calculations which are treated as point estimates. The present study addresses this issue. Specifically, nonparametric mixtures of Poisson laws are used to construct an optimal BMS with a finite number of classes. The mixing distribution is estimated by nonparametric maximum likelihood (NPML). The main contribution of this paper is the use of the NPML estimator for the construction of confidence intervals for the premium rates derived by updating the posterior mean claim frequency. Furthermore, we advance one step further by improving the performance of the confidence intervals based on a bootstrap procedure where the estimated mixture is used for resampling. The construction of confidence intervals for the individual premiums based on the asymptotic maximum likelihood theory is beneficial for the insurance company as it can result in accurate and effective adjustments to the premium rating policies from a practical point of view.     

Dynamic factor demands under imperfect competition: the Greek manufucturing industry 1958–1981

The intertemporal maximization problem of the firm under adjustment costs for its factors of production and imperfect competition in the output market is considered. The first-order conditions, with respect to capital and labour, the production function and the demand equation have been jointly estimated using Greek manufacturing data and values for the structural parameters have been obtained. The estimates are plausible and most of them significant. Tests of the overidentifying restirctions are unable to reject the overall specification of the model at conventional levels of significance.     

FORECASTING INFLATION USING DYNAMIC MODEL AVERAGING*

We forecast quarterly US inflation based on the generalized Phillips curve using econometric methods that incorporate dynamic model averaging. These methods not only allow for coefficients to change over time, but also allow for the entire forecasting model to change over time. We find that dynamic model averaging leads to substantial forecasting improvements over simple benchmark regressions and more sophisticated approaches such as those using time varying coefficient models. We also provide evidence on which sets of predictors are relevant for forecasting in each period.     

REVISITING THE REAL WAGES–UNEMPLOYMENT RELATIONSHIP. NEW RESULTS FROM NON-LINEAR MODELS

We examine the long-run real wages–unemployment relationship for five OECD countries over the period 1960:1–2001:4. Given the theoretical possibility of non-linear equilibrium due to downward real wage rigidity we employ econometric tests that allow for the presence of non-linearities in the long-run equilibrium. We adopt the notion of 'hidden co-integration' suggested by Granger and Yoon . This methodology has several advantages with respect to other non-linear models. We find statistical evidence that, in general, there is a long-run positive relation between real wages and unemployment only when both are affected by positive shocks. We also find a negative relationship between unemployment and productivity. The empirical analysis is complemented with the estimation of error correction models for all countries.     

What drives acquisitions?: Market valuations and bidder performance

Given the recent theoretical development that documents stock market misvaluations’ driven acquisition, this paper examines the relation between market valuations and bidder performance. We focus on hot stock markets and find that bidder reactions to mergers, in both the short- and long-run period, are consistent with the predictions of investors’ sentiment (optimism) after controlling for target type and method of payment. Managers that undertake mergers during bullish periods are rewarded by the generalized upward trend of the market in the short-run. However, this is followed by long-term reversals as the market learns only gradually that many of the mergers undertaken during hot periods were not carefully evaluated and were made under the pressure of ‘urge to merge’ to take advantage of the overall market status of a particular period.     

Insider trading and future stock returns in firms with concentrated ownership levels

We investigate the relationship between insider trading and stock returns in firms with concentrated ownership. To this end, we employ data from East Asian countries which span the period January 2003 to May 2012. Consistent with the previous literature, we find a significantly negative relation between the selling activity of insiders and stock returns. However, contrary to studies which focus on highly developed markets, we find that the buying activity of insiders is also inversely related to future stock returns. Our analysis shows that top directors with higher ownership levels drive this result, suggesting that the trading activity of insiders is not always associated with profit-making motives and can be explained by their level of ownership. Furthermore, we demonstrate that a trading strategy which focuses solely on purchases made by top directors with high ownership levels yields negative returns. The paper has important implications for outside investors who mimic the trading activity of insiders with the aim to realise profits.     

The short-term impact of director trading in UK closed-end funds

Most closed-end funds are transparent entities that hold securities that are actively traded in liquid markets. In such a setting, the argument that director transactions mitigate information asymmetry has very limited applicability. Our results provide support for the theory of Barber and Odean [2008. “All that Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors.” Review of Financial Studies 21: 785–818]: retail investor decision-making is influenced by attention-grabbing events. Director purchases are one such attention-grabbing event and are associated with significant positive price returns – the magnitudes of which are linked to the size of the purchase, the size of the fund, and the investment mandate. Trading volumes increase at the time of the purchase but most of the initial price responses and trading volumes dissipate over the following 15 days.