A Dynamic Analysis of Licensing: The ‘‘Boomerang'’ Effect and Grant‐Back Clauses*

This article develops an incomplete contract model of the licensing relationship to analyze the dynamic effects of licensing on R&D competition in the innovation market and to examine the rationale for often observed ‘‘grant‐back'’ clauses. Of particular concern are how the consideration of future competition distorts the licensing relationship and how the grant‐back clause can mitigate this distortion. I also evaluate the validity of the casual antitrust argument that grant‐back clauses may adversely affect competition because they reduce the licensee's incentive to engage in R&D and thereby limit rivalry in innovation markets.     

Volatility–volume co-movements: evidence from China metal markets

This article investigates the interactional relationship between price volatility and futures trading activity for three heavily traded metal products on the Shanghai Metal Exchange and the Shanghai Futures Exchange. Using models based on vector autoregression and generalized method of moments, we show, in particular, that futures trading activity has a strong impact on both spot and futures price volatility in copper and aluminium markets. Futures trading activity leads spot market volatility in copper and aluminium markets which suggests that futures markets have a destabilizing effect. In order to disentangle the effect of different traders’ types on asset price movements, we decompose futures trading into speculators’ and hedgers’ trading and investigate their contributions to volatility. As a robustness check, we investigate the impact of endogenous structural breaks on the interactional relationship between price volatility and futures trading.     

Foreign market conditions and export performance: does ‘crowdedness’ reduce exports?

Abstract This paper analyzes the link between firm exports and the competitive environment in foreign markets. We derive a theory‐based econometric specification linking market‐specific exports to foreign demand and the degree of a market’s ‘crowdedness,’ which depends on the number and efficiency of firms competing there and the barriers impeding their access. Estimates on a large sample of Italian firms indicate that increased crowdedness has reduced Italian exports, but only by 0.2%–0.3% per year. This is substantially less than the contribution of other factors such as higher unit labour costs or weak demand growth in the EU15.     

THE DYNAMIC RELATION BETWEEN RETURNS,TRADING VOLUME,AND VOLATILITY: LESSONS FROM SPILLOVERS BETWEEN ASIA AND THE UNITED STATES

This paper investigates the dynamic relationship between index returns, return volatility, and trading volume for eight Asian markets and the US. We find cross‐border spillovers in returns to be non‐existent, spillovers in absolute returns between Asia and the US to be strong in both directions, and spillovers in volatility to run from Asia to the US. Trading volume, especially on the Asian markets, depends on shocks in domestic and foreign returns as well as on volatility, especially those shocks originating in the US. However, only weak evidence is found for trading volume influencing other variables. In the light of the theoretical models, these results suggest sequential information arrivals, with investors being overconfident and applying positive feedback strategy. Furthermore, new information causes price volatility to rise due to differences in its interpretation among traders, but the subsequent market reaction takes the form of adjustment in price level, not volatility. Lastly, the intensity of cross‐border spillovers seems to have increased following the 1997 crisis, which we interpret as evidence of increased noisiness in prices and diversity in opinions about news originating abroad. Our findings might also help to understand the nature of financial crises, to predict their further developments and consequences.     

Asymmetric effect of exchange rate volatility on India's cross‐border trade: Evidence from global financial crisis and multiple threshold nonlinear autoregressive distributed lag model

This paper examines the asymmetric effect of exchange rate volatility on India's cross‐border trade with its major trading partners: Japan, Germany, the United States, and China. We extend previous studies in two ways. First, we examine whether global financial crisis changes the asymmetric effect of exchange rate volatility on India's cross‐border trade. Next, we divide exchange rate volatility into quintiles and examine the effect of each quintile on cross‐border trade by using the multiple threshold nonlinear autoregressive distributed lag (MTNARDL) model. Our findings from standard nonlinear ARDL (NARDL) indicate that the asymmetric relationship between exchange rate volatility and cross‐border trade changes as a result of global financial crisis. In addition, findings from MTNARDL indicate that in short‐run, exchange rate volatility symmetrically affects India's cross‐border trade with all sample countries whereas in long‐run it asymmetrically affects cross‐border trade. Overall, these findings are very important for policy implications and open a new dimension to exchange rate volatility and trade flows.     

Impacts of China's crash on Asia-Pacific financial integration: Volatility interdependence,information transmission and market co-movement

This paper examines the price and volatility dynamics between China and major stock markets in the Asia-Pacific, investigating the effects of the Chinese stock market crash (2015–2016) for the first time. Employing the Bayesian VAR and BEKK GARCH, we observe that price and volatility spillover behaviours are different during the stable and stress periods. Particularly, price spillovers from China to other regional markets are more significant during a bullish period, showing that ‘good news’ emanating from China has strong impacts on its neighbours during better market condition. In the turbulent period, we observe strong shock spillover effects and enhanced volatility spillovers from China to most Asia-Pacific stock markets. This is because China, as an important trading partner and strategic financial centre shows to exert significant influence on the Asia-Pacific region through various economic channels. We also find that the Asia-Pacific stock markets spill over their shocks to China during the crisis, indicating that China is becoming more integrated with the regional financial markets.     

Pairs trading: does volatility timing matter?

Pairs trading is a dollar-neutral trading strategy. Using the components of two major stock indices, the S&P 500 and the Nikkei 225, this article deals with the performance of a pairs trading system based on various pairs selection methods (distance, stationarity, cointegration) over a 10-year period. On both markets, using a classical framework, cointegration appears superior and effective. On the U.S. market and also in Japan to a lower extent, pairs trading strategies exhibited an impressive performance during the 2008 financial crisis. Bearish periods are associated with a high level of the VIX index: the ‘investor fear gauge’. Using a modified trading system, this article examines the link between pairs trading performance and volatility/VIX timing. It is shown that for the best selection technique (cointegration), timing volatility has no economic value in a pairs trading context.     

LONG‐TERM AND SHORT‐TERM EQUITY MARKET PRICE INTERACTIONS BETWEEN AUSTRALIA AND THE CHINESE STATES*

This study investigates the extent and manner of long‐term and short‐term price interaction between the equity market of Australia and those of China, Hong Kong, Singapore and Taiwan taking into account the effect of the Asian financial crisis. It uses cointegration and generalised forecast variance and impulse response analyses. The study finds no long‐term price relationship between the equity markets of Australia and the Chinese states. The short‐term evidence indicates that Australia was only significantly interdependent with Hong Kong during the pre‐Asian crisis period and with Hong Kong and Singapore during the post‐crisis period. Australia and these markets react to a shock from each other immediately during the first day and complete this reaction by day two. These findings are useful for investors and policy makers, especially in light of the economic importance of these nations and China's recent admittance to the World Trade Organisation.     

A RE‐EXAMINATION OF REAL INTEREST PARITY IN CEECs USING ‘OLD’ AND ‘NEW’ SECOND‐GENERATION PANEL UNIT ROOT TESTS

This study applies ‘old’ and ‘new’ second‐generation panel unit root tests to check the validity of the long‐run real interest rate parity (RIP) hypothesis for ten Central and Eastern European Countries (CEECs) with respect to the Euro area and an average of the CEECs’ real interest rates. When the ‘new’ panel unit root tests are carried out relative to the Euro area rate as reference, we confirm the results of previous studies that support the RIP hypothesis, and the results of the ‘old’ tests used as a benchmark. Nevertheless, when the ‘new’ tests are performed using the average of the CEECs’ rate as reference, our results are mitigated, revealing that the hypothesis of CEECs’ interest rates convergence cannot be taken for granted. From a robustness analysis perspective, our findings indicate that the RIP hypothesis for CEECs should be considered with caution, because the RIP hypothesis is sensitive to the retained reference rate for computing the real interest rate differential, and also to the retained countries in the sample.     

PERIODIC,COMPLETE‐PARTICIPATION TRADE IN THE LAGOS‐ROCHETEAU MODEL

This paper contributes to a recent policy discussion regarding the costs and benefits of setting up a centralized electronic trading platform to replace over‐the‐counter (OTC) markets. We modify the Lagos and Rocheteau (2009, henceforth LR) asset trading model by replacing their investor‐dealer random matching and bilateral trade with a centralized competitive market that opens periodically. This arrangement preserves the main tension and trade‐off in LR. We then analyse and quantify when to introduce a centralized market and how frequently it should open in order to make it as efficiently as the decentralized OTC market in LR.     

‘BRAIN DRAIN’ OR ‘BRAIN CIRCULATION’: EVIDENCE FROM OECD'S INTERNATIONAL MIGRATION AND R&D SPILLOVERS

This paper empirically investigates whether labour mobility can transfer technology across borders based on the panel cointegration method. Estimates of specifications on a cross‐section of 19 OECD countries during 1980–1990 lend strong support to this thesis. Data indicate that international labour movement may help transfer technology across borders in both directions: from donor countries to host countries and vice versa. This suggests that migration may more likely create a ‘brain circulation’ rather than a ‘brain drain’. In addition, human capital has a significant impact on the research and development (R&D) diffusion process as it enhances a country's capacity to learn from a foreign technology base.     

Redistribution,state trading enterprises and ‘politically optimal’ tariffs

State trading enterprises (STEs) are widely used and can be viewed as instruments of trade policy. We analyse two aspects: the first is their potential trade distorting effect; the second is how they modify the case for the ‘politically optimal’ tariff. We show that the STE can reduce the need for a tariff designed for domestic redistribution. This result introduces some ambiguity about how STEs are interpreted: from a multilateralist perspective, they should be dealt with in the same way as other non‐tariff barriers; from a nationalistic perspective, they can reduce the need for ‘politically optimal.’     

FINANCIAL CRISES AND INTERNATIONAL STOCK MARKET VOLATILITY TRANSMISSION

This paper examines the interplay between stock market returns and their volatility, focusing on the Asian and global financial crises of 1997–98 and 2008–09 for Australia, Singapore, the UK, and the US. We use a multivariate generalised autoregressive conditional heteroskedasticity (MGARCH) model and weekly data (January 1992–June 2009). Based on the results obtained from the mean return equations, we could not find any significant impact on returns arising from the Asian crisis and more recent global financial crises across these four markets. However, both crises significantly increased the stock return volatilities across all of the four markets. Not surprisingly, it is also found that the US stock market is the most crucial market impacting on the volatilities of smaller economies such as Australia. Our results provide evidence of own and cross ARCH and GARCH effects among all four markets, suggesting the existence of significant volatility and cross volatility spillovers across all four markets. A high degree of time‐varying co‐volatility among these markets indicates that investors will be highly unlikely to benefit from diversifying their financial portfolio by acquiring stocks within these four countries only.     

Trading with Tigers: A Technical Analysis of Southeast Asian Stock Index Futures

ABSTRACT

Our paper examines the profitability of technical trading rules in Southeast Asian (SEA) ‘tiger cub’ stock index futures markets during and after the global financial crisis (GFC) of 2007/2008. Using daily closing price data from 2007 to 2012, we explore technical trading rules such as exponential moving averages (EMA (20), EMA (100), EMA (20,100)) and moving average convergence divergence (MACD) in Indonesia, Malaysia, the Philippines and Thailand. The findings reveal that after applying trading rules that account for transaction costs and risk, abnormal profits cannot be achieved above a naı¨ve ‘buy-and-hold’ strategy (with the exception of EMA (100) and EMA (20,100) in Indonesia, and EMA (20,100) in both the Philippines and Thailand). There appears to be some degree of success with the application of longer-term trading rules; however, unless transaction costs can be reduced, investors are best advised to pursue passive investment approaches. Despite the economic uncertainty associated with the GFC and ongoing market volatility, it appears that SEA tiger cub stock index futures markets are weak-form efficient.     

Mena Stock Markets Integration: Pre and Post Global Financial Crisis

This paper examines the short‐ and long‐run linkages in pre and post global financial crisis among Middle East and North Africa (MENA) stock markets, between MENA and Chinese stock markets and also between MENA and developed (United States and United Kingdom) stock markets. Results indicate that both long‐run co‐integration relationships and short‐run causal linkages among MENA stock markets increased in post‐crisis than that in pre‐crisis sub‐period. The degree of integration between MENA and Chinese stock markets increased in post‐crisis than pre‐crisis. We also find that the degree of integration between MENA and developed (United States and United Kingdom) stock markets increased in post‐crisis than that in pre‐crisis. The presence of increased linkages among MENA markets, and between MENA and Chinese stock markets and also between MENA and developed (United States and United Kingdom) markets has important implications for portfolio investors and policy makers.     

Which Vested Interests Do Central Banks Really Serve? Understanding Central Bank Policy Since the Global Financial Crisis

Inspired by Thorstein Veblen’s ideas, I analyze the behavior of central banks from the perspective of how institutions are captured by vested interests. Since the global financial crisis in 2008, there has been a shift in the conduct of monetary policy. Much like the behavior of asset holders themselves, who, in times of crisis, sought to trade off lower returns with more stable asset values, monetary policy changed from a de facto policy of stabilizing rentier income to one of preserving asset prices or rentier wealth. I analyze this particularly through the lenses of what happened with quantitative easing (QE) in the US, which coincided with a collapse of real interest rates, while asset prices were stabilized. This can also be seen in the way the banking sector was supported by QE where the market for mortgage-backed securities was sustained even as it actually meant a lower profitability for the overall U.S. banking sector during the QE interventions.     

Distance and beyond: What drives financial flows to emerging economies?

A major theme in the empirical literature is whether country-specific ‘pull’ or external ‘push’ factors drive international capital flows. In this paper we show that pull-push interactions matter: the response of international investors to country-specific developments depends on global volatility/liquidity stress conditions. We model asset-trade behaviour of investors: with limited information, strong institutional quality ‘pulls’ asset demand; mounting tensions in global markets amplify portfolio adjustments. We derive an empirically testable equation for cross-border bank flows to emerging economies (EMEs) and focus on pull-push interactions that trigger financial vulnerabilities. We find that global volatility amplifies demand for institutional quality, prior to the recent crisis, implying that EMEs with weak institutional settings are exposed to sharp capital retrenchments. In the aftermath of the crisis, the liquidity easing in advanced economies drives down concerns for EMEs' developments, boosting flows and challenging EMEs' ability to use capital controls to mitigate unbridled flows.     

The Impact of the GFC on Sectoral Market Efficiency: Non‐linear Testing for the Case of Australia

This paper investigates the efficiency of the Australian stock market during the period of volatility and disruption associated with the Global Financial Crises (GFC). Furthermore, the investigation seeks to observe any divergence in market efficiency between industry sectors that demonstrate differing economic performance across the period. Spanning a time period of 2000–2015, the data are split into three periods of distinct economic conditions: a pre‐crisis period of relatively high growth, the GFC period of disruption and contraction, and a post‐GFC period of relatively low growth. Five sector indices listed on the Australian Securities Exchange are analysed to search for evidence of market efficiency (Real Estate, Consumer Discretionary, Financials, Materials, and Metals and Mining). A range of non‐linear tests are applied in order to systematically investigate the structure of the market in each sector. The results highlight the cointegrated nature of non‐linearity across related sectors, and also demonstrate that different industries within the same economy can reveal highly diverse patterns of non‐linearity and market efficiency in response to financial crisis.     

TESTING FOR ASSET MARKET LINKAGES: A NEW APPROACH BASED ON TIME‐VARYING COPULAS

This paper proposes a new approach based on time‐varying copulas to test for the presence of increases in stock market interdependence (also known as shift contagion) after a financial crisis. We discuss the importance of considering simultaneously separate breaks in volatility and dependence. Without such consideration, the contagion test turns out to be biased. A sequential algorithm is proposed to tackle this problem. Applied to the recent 1997 Asian crisis, the analysis confirms that breaks in variances always precede those in the dependence parameter. Moreover, a significant ‘J‐shape’ evolution of the dependence parameter is detected, supporting the idea of shift contagion.     

Conditional volatility and correlations of weekly returns and the VaR analysis of 2008 stock market crash

Modelling of conditional volatilities and correlations across asset returns is an integral part of portfolio decision making and risk management. Over the past three decades there has been a trend towards increased asset return correlations across markets, a trend which has been accentuated during the recent financial crisis. We shall examine the nature of asset return correlations using weekly returns on futures markets and investigate the extent to which multivariate volatility models proposed in the literature can be used to formally characterize and quantify market risk. In particular, we ask how adequate these models are for modelling market risk at times of financial crisis. In doing so we consider a multivariate t version of the Gaussian dynamic conditional correlation (DCC) model proposed by Engle (2002), and show that the t-DCC model passes the usual diagnostic tests based on probability integral transforms, but fails the value at risk (VaR) based diagnostics when applied to the post 2007 period that includes the recent financial crisis.