Foreign MNEs and domestic innovative capabilities: are there conditions for reverse spillovers in the spanish industry?

We analyse, over 2004-2008, a sample of approximately 700 foreign subsidiaries and 4,500 domestic firms located in Spain in order to understand the relationship between local R&D cooperation and innovativeness of the firm. Our ultimate objective is to understand whether foreign subsidiaries are likely to make a contribution to local innovative capabilities or if, conversely, they may eventually benefit from conditions for reverse spillovers. Using a variety of specifications for the innovation-related activities of the firm, we find that foreign subsidiaries are more cooperative than the average firm located in Spain, but not necessarily more than affiliated domestic firms (entrepreneurial groups). However, foreign subsidiaries are more cooperative than affiliated domestic firms in sectors considered highly dynamic by international technological standards, whether Spain has a technical advantage in these specific sectors or not. When we focus on companies which are more innovative than the two-digit industries in which they operate, we find that foreign subsidiaries tend to be more cooperative than domestic firms in sectors where Spain displays technological advantage. These sectors comprise traditional industries displaying little innovation dynamism from an international point of view. This finding suggests that there may be conditions for reverse spillovers in these specific Spanish sectors (though measuring them is beyond the objectives of this paper).

Modelling and testing volatility spillovers in oil and financial markets for USA, UK and China

The primary purpose of the paper is to analyze the conditional correlations, conditional covariances, and co-volatility spillovers between international crude oil and associated financial markets. The paper investigates co-volatility spillovers (namely, the delayed effect of a returns shock in one physical or financial asset on the subsequent volatility or co-volatility in another physical or financial asset) between the oil and financial markets. The oil industry has four major regions, namely North Sea, USA, Middle East, and South-East Asia. Associated with these regions are two major financial centers, namely UK and USA. For these reasons, the data to be used are the returns on alternative crude oil markets, returns on crude oil derivatives, specifically futures, and stock index returns in UK and USA. The paper will also analyze the Chinese financial markets, where the data are more recent. The empirical analysis will be based on the diagonal BEKK model, from which the conditional covariances will be used for testing co-volatility spillovers, and policy recommendations. Based on these results, dynamic hedging strategies will be suggested to analyze market fluctuations in crude oil prices and associated financial markets.

Testing co-volatility spillovers for natural gas spot, futures and ETF spot using dynamic conditional covariances

There is substantial empirical evidence that energy and financial markets are closely connected. As one of the most widely-used energy resources worldwide, natural gas has a large daily trading volume. In order to hedge the risk of natural gas spot markets, a large number of hedging strategies can be used, especially with the rapid development of natural gas derivatives markets. These hedging instruments include natural gas futures and options, as well as Exchange Traded Fund (ETF) prices that are related to natural gas stock prices. The volatility spillover effect is the delayed effect of a returns shock in one physical, biological or financial asset on the subsequent volatility or co-volatility of another physical, biological or financial asset. Investigating volatility spillovers within and across energy and financial markets is a crucial aspect of constructing optimal dynamic hedging strategies. The paper tests and calculates spillover effects among natural gas spot, futures and ETF markets using the multivariate conditional volatility diagonal BEKK model. The data used include natural gas spot and futures returns data from two major international natural gas derivatives markets, namely NYMEX (USA) and ICE (UK), as well as ETF data of natural gas companies from the stock markets in the USA and UK. The empirical results show that there are significant spillover effects in natural gas spot, futures and ETF markets for both USA and UK. Such a result suggests that both natural gas futures and ETF products within and beyond the country might be considered when constructing optimal dynamic hedging strategies for natural gas spot prices.