Foreign direct investment,black economic empowerment and labour productivity in South Africa

The impact of foreign direct investment (FDI) on domestically owned firms in developing countries has been widely debated in the literature. It has been argued that FDI provides access to advanced technologies and other intangible assets, which may spill over to the host country and allow domestic firms to improve their performance. While there is a substantial literature on this issue, for obvious reasons, little is known about the effect of FDI on domestic firms in the African context. Noting this gap, this paper uses two-period (2003 and 2007) firm level panel data from South Africa to examine the impact of FDI on the labour productivity of domestic firms. A key policy change during this time period was the passage of the broad-based black economic empowerment act (BB-BEE) and we also examine the effect of the interaction between foreign firm ownership and BEE on labour productivity. Regardless of the empirical specification, we find no spillover effects and no evidence that a greater degree of BEE compliance by foreign firms influences labour productivity.     

Wages and wage growth in Poland: The role of foreign direct investment

In recent years Poland has received substantial inflows of foreign direct investment. This paper combines detailed labour market data with industry data from the Polish manufacturing sector to examine the effects of foreign direct investment inflows on wages and wage growth. The empirical evidence we assemble suggests that workers in industries with greater foreign presence enjoy higher wages and higher wage growth. This effect appears to be robust to a variety of empirical approaches, estimation techniques and specification checks.
JEL classification: F23, J31, 019, P33.     

Does the price of crude oil respond to macroeconomic news?

In a recent study, Kilian L. and Vega C. (2011) indicate that the daily price of crude oil is mostly unresponsive to macroeconomic news, and at times exhibits response‐coefficients that are counterintuitive. The authors conclude that the price of crude oil is predetermined to macro aggregates, and hence determined in a flow demand/supply framework. We make the argument that inferences on commodity price determination should be drawn from news responses only after the standard tests are subject to inventory (or stock) controls. Using daily and intraday price data and proxies for inventory levels, we reexamine the responsiveness of crude prices to macroeconomic news. Our evidence suggests a very limited role for stock levels in the responsiveness of crude oil. The prior conclusion that crude oil is priced primarily in a flow‐environment is supported by our data. © 2011 Wiley Periodicals, Inc. Jrl Fut Mark 32:536–559, 2012     

Estimation of the precision matrix of multivariate Pearson type II model

In this paper, the problem of estimating the precision matrix of a multivariate Pearson type II-model is considered. A new class of estimators is proposed. Moreover, the risk functions of the usual and the proposed estimators are explicitly derived. It is shown that the proposed estimator dominates the MLE and the unbiased estimator, under the quadratic loss function. A simulation study is carried out and confirms these results. Improved estimator of tr (Σ ⁻¹) is also obtained.     

S&P 500 volatility,volatility regimes,and economic uncertainty

We assess the relationship between regime-dependent volatility in S&P 500, economic policy uncertainty, the S&P 500 bull and bear sentiment spread (bb_sp), as well as the Chicago Board Options Exchange's VIX over the period 2000–2018. Our findings from two-covariate GARCH–MIDAS (GM) methodology, regime switching Markov Chain, and quantile regressions suggest that the association of realized volatility and sentiment varies across high- and low-volatility regimes and depends on investors’ sensitivity toward incidents of market uncertainties under these regimes. The findings suggest that these indicators may not be useful in volatility forecasting, especially under high-volatility regimes.