Introduction

NETNOMICS: Economic Research and Electronic Networking -     

Leveraged investor disclosures and concentrations of risk

We analyze a model where investors (e.g., hedge funds) need to borrow from lenders with heterogeneous risk-exposures and risk-management motives. Investors may obtain advantageous terms of borrowing by disclosing their investment strategy, thereby revealing its correlation to the lender's existing risk exposure. Investors risk being “front-run” by their lender if they disclose, however. We show that in the presence of front-running, the “unraveling” result of full disclosure may not hold. In addition, disclosure regulation results in a loss of welfare since investors compelled to disclose will mitigate front-running by choosing a lender with sufficiently high correlation, thus exacerbating concentrations of risk.     

ECB monetary policy and commodity prices

We assess the impact of ECB monetary policy on global aggregate and sectoral commodity prices over 2001–2019. We employ an SVAR model and separately assess periods before and after the global financial crisis. Our key results indicate that contractionary monetary policy shocks have positive effects on commodity prices during both conventional and unconventional monetary policy periods, indicating the effectiveness of unconventional monetary policy tools. The largest impact is documented on energy (fuel) and food commodities. Our results also suggest that the effect of ECB monetary policy on commodity prices transmits through the exchange rate channel, which influences European market demand.     

The market distortion effects of mortgage tightening and transaction taxes: Evidence from Hong Kong residential resale market

By using transaction-level data, we study if two popular policies intended to cool an overheated housing market would serve their intended purposes. We found both mortgage tightening and Special Stamp Duties (SSD) actually led to higher starter home prices in Hong Kong. Mortgage tightening shifted the demand for bigger homes to that for smaller ones. The SSD that applies to resales within a specified period of the original purchase lowered turnover across the housing market. The decline in turnover is, as expected, sharpest for small flats, implying a dramatic shrinkage in second-hand supply of such homes, driving their prices up. We also found transactions bunching as many homes are held till the SSD is no longer applicable, indicating lock-in effects. Relative to those that are not subject to the SSD, the prices of properties subject to the levy are found to be lower by 6.8%.     

Emojis to conversion on social media

Emojis have become popular in online marketing communications. Marketers use emojis to humanize brand voice and elicit an emotional response from target audiences. However, little is known about how emojis are perceived and what kind of reactions they evoke. Therefore, this study aims to verify whether exposure to emojis leads to an increased intention to purchase and whether the use of emojis impacts campaign effectiveness in a real-life environment. In a theory build-up process, we draw upon the Dual Coding Theory and emotional contagion concept and develop seven hypotheses. We performed two data collection studies to test the hypothesized relations. The first study is based on a questionnaire (N = 318), while the second is based on experimental design in a real-life business environment. Surprisingly, we found that using emojis had a negative effect on purchase intention, while the effect was positive when mediated by positive affect. Emojis increased the effectiveness of marketing campaigns for hedonic products and strongly impacted the return on advertising spent. The findings of this study have both theoretical and practical implications in the observed domains, particularly about the type of products emojis are most effective in promoting, gender differences, and real-life consumer behaviour. This is the first study to use an experimental design in a real-life scenario to capture the role of emojis on campaign effectiveness and decipher the differences between genders and their perceptions of emojis. Theoretical and practical implications together with future prospects are discussed.     

When legislators responded to news media surveys: unstable responses,missing not at random responses,and self-censorship

Quality & Quantity - This paper investigates how survey-based methods can create biased measures of legislators’ policy positions by analyzing the two similar surveys conducted by...     

Can corruption encourage clean technology transfer?

We study the impact of environmental regulation on the transfer of a clean technology where bureaucrats are needed for government intervention. In the absence of corruption, when environmental taxes are low, a technology transfer always takes place and it increases total outputs, but may lead to higher pollution levels. However, when corruption is possible, a firm with a dirty technology may choose to bribe a corruptible bureaucrat who will underreport the actual level of emissions, thereby hindering the transfer of clean technology. We show that a less strict anticorruption policy may lead to more bribing, but encourage technology transfers. Moreover, an environment-oriented government would set a deterrent environmental tax to reduce pollution, while an output-oriented government would set a minimum tax rate to eliminate corruption and induce technology transfers. However, a balanced government would tolerate corruption when the cost of bribing is low and the clean technology is sufficiently efficient.     

An analysis of the evolution of global financial network of the coordinated portfolio investment survey

In this study, we construct a directional global financial network using portfolio investment data from more than 200 countries during the first two decades of the 21st century and analyze the properties of the network. Through macroscopic analysis, we show that the network became denser and could be divided into central and peripheral groups. Microscopic analysis shows that, in addition to well-known financial-central countries, relatively less well-known countries played important roles in the global financial network. Further, each country's per capita GDP is positively correlated with its centrality in the network, and the correlation is stronger when measured with inbound investments than when measured with outbound investments.