Dynamics of fine wine and asset prices: evidence from short- and long-run co-movements

This article examines short- and long-term price linkages among the majority of fine wine and equity markets over the period of 2003 to 2012. We do not consider the price index (LIV-EX 100 or 500), as is typically undertaken in previous studies, but rather examine the auction price series of the world’s most traded wine-vintage pairs (5 Bordeaux first growth, 8 Bordeaux second growth, 5 Burgundy, 3 Rhone, 4 Italian, 5 Californian, 1 Australian and 1 Portuguese). A global equity index is also included using the Morgan Stanley Capital International World. Cointegration procedures, the Granger non-causality test, and ECM are used to analyse short- and long-run relationships among these markets. The results indicate a strong effect of financial markets on wine prices and short-term causality for certain wines. Moreover, the findings indicate short-run causality between the wines themselves, revealing a leader (exogenous) or follower (endogenous) status of certain fine wines in price dynamics, and also long-run causality for endogenous wines. This approach is relevant to portfolio diversification strategies and allows price movements to be anticipated more accurately than using an index approach.     

Electronic Marketplace: A Distinct Platform for Business-to-Business (B-to-B) Procurement

Purpose: The purpose of this study is to examine whether buyers perceive different electronic marketplaces (EMs) as distinct types of procurement platforms. More specifically, it empirically investigates to what extent professional buyers expect different benefits from different EM types and perceive different barriers associated with their usage.

Methodology: A Web-based survey of purchasing professionals in the United States was conducted with 359 responses received. A multivariate analysis of variance (MANOVA) was performed to determine if there are significant differences between EM types with respect to expected benefits (market aggregation and inter-firm collaboration) and perceived barriers (financial risks and trust barriers).

Findings: The results show buyers' expectations of benefits differ significantly between public EMs (i.e., third-party exchanges and industry-sponsored marketplaces) and private EMs (i.e., private trading networks), and between neutral EMs (i.e., third-party exchanges) and biased EMs (i.e., private trading networks and industry-sponsored marketplaces). Likewise, their perception of barriers differs significantly between public and private EMs.

Research limitations/implications: The research confirmed empirically that EMs are a distinct platform for business-to-business procurement. Nevertheless, by examining EMs from business buyers' perspective, this study necessarily limits itself to purchasing-related issues.

Practical implications: By providing insights into buyers' perceptions, our findings can help managers focus their promotional efforts aimed at potential firms that would like to use EM for procurement by emphasizing specific benefits or addressing specific perceived barriers based on the type of EM they manage.

Originality/value: This study fills a void in academic literature on EMs that currently contains few empirical studies with respect to EM types. Its main contribution is in establishing empirically that EMs do not constitute a single, homogeneous marketspace but are instead comprised of distinct types that offer users specific benefits and expose them to certain risks.     

Traditional bazaar or supermarkets: A probit analysis of affluent consumer perceptions in Hanoi

Abstract

This paper sheds light on the preferences and behaviour of Vietnamese consumers in an emerging market economy. We analysed survey data of affluent consumers in Hanoi by using a binary choice Probit model for traditional bazaars versus supermarkets. The purpose of the analysis was to measure the factors which influence decision-making by consumers when selecting particular retail outlets for shopping. Our results show that freshness, price and convenience are important in shaping the choice by consumers for traditional outlets for fresh food, while price played a key role in selecting shopping outlets for processed food and drinks and non-food products. The results provide a basis for understanding the strengths and weaknesses of the old and the new retail outlet formats.     

The Effect of Government Spending on the Debt‐to‐GDP Ratio: Some Keynesian Arithmetic

According to the standard approach to the issue of public debt sustainability, fiscal austerity is the route that many countries must currently follow to reduce their debt‐to‐GDP ratios back to sustainable paths. We challenge this conventional wisdom and argue that, below full employment, an increase in government spending may paradoxically reduce the debt‐to‐GDP ratio. This claim is particularly relevant today because with Central Bank interest rates near zero there is no alternative to fiscal policy, and the only argument against increasing government expenditure as a way to fight unemployment is its supposed negative effect on the state of public finances.     

Regional determinants of ICT new firm formation

The role of regional determinants in new entrepreneurs’ location decisions is analyzed in the French information and communication technologies (ICT) sector. As we focus on the emergence of this industry, our dataset includes every new ICT firm in France in the period 1993–2001. We find evidence for the positive effect of co-location with incumbent ICT firms and some effect of knowledge spillovers. The effects of agglomeration, entrepreneurial capital and human capital are mixed.     

‘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.     

ANALYSIS OF POLICY CHANGES IN THE SEAFOOD PROCESSING INDUSTRY IN VIETNAM

Abstract. This paper examines firms’ competitiveness in the seafood processing industry in Vietnam and policy changes for global integration. We find that trade liberalization is a very important policy change that has generally positive impacts and generates strong reactions in the seafood processing industry. Exchange rate depreciation is also an important factor and receives strong responsiveness as most of firms’ intermediate inputs are tradable and seafood products are also tradable. Increasing electricity charges that reduce profitability also generate strong reactions. Oil and petrol comprise a small portion of intermediate inputs, hence increasing the oil price does not significantly hinder the industry and does not stimulate very strong reactions. The US anti‐dumping tariff strongly hurts firms’ profitability, not only seafood exporting firms but also non‐exporters.     

Transportation in disaster response operations

Disasters are extraordinary situations that require significant logistical deployment to transport equipment and humanitarian goods in order to help and provide relief to victims. An efficient response helps to reduce the social, economic and environmental impacts. In this paper, we define and formulate a practical transportation problem often encountered by crisis managers in emergency situations. Since optimal solutions to such a formulation may be achieved only for very small-size instances, we developed an efficient genetic algorithm to deal with realistic situations. This algorithm produces near optimal solutions in relatively short computation times and is fast enough to be used interactively in a decision-support system, providing high-quality transportation plans to emergency managers.     

Estimating semiparametric panel data models by marginal integration

We propose an alternative method for estimating the nonlinear component in semiparametric panel data models. Our method is based on marginal integration that allows us to recover the nonlinear component from an additive regression structure that results from the first differencing transformation. We characterize the asymptotic behavior of our estimator. We also extend the methodology to treat panel data models with two-way effects. Monte Carlo simulations show that our estimator behaves well in finite samples in both random effects and fixed effects settings.     

Market impacts of the 2020 short selling bans

At the height of the COVID-19 related market stress in March 2020, six European countries implemented market-wide short selling bans. Based on a difference-in-difference approach using regulatory data, our estimation finds that the bans are associated with a deterioration in liquidity and trading volumes, and a decrease in volatility, without evidence of price impact. Remarkably, the negative impact persisted after the bans' lift. Liquidity deterioration appears stronger for liquid shares- large-cap, highly fragmented stocks, and stocks with listed derivatives. Sectoral effects are noticed for the stocks most affected by the market stress. Finally, no displacement effect was observed.