Does reputation of sponsors matter in IPO? Evidence from Hong Kong

Contrary to other markets where underwriters perform a combined role of underwriting and sponsoring in an Initial Public Offering (IPO), IPO issuers in Hong Kong must appoint at least one sponsor in addition to the underwriters. The splitting of the single role of underwriters into two separate ones offers an ideal setting to disentangle the effects of the two roles and to examine which of the two roles—sponsor or underwriter—is more important in explaining IPO underpricing and initial volatility in the Hong Kong equity market. Interestingly, our findings provide supportive evidence that the sponsor reputation does matter in an IPO and it is even more significant than the underwriter reputation in explaining the IPO underpricing phenomenon. Given the recent high-tech fervor, our research goes deeper to examine specifically the role of sponsors on high-tech firms, with results indicating that the reliance on sponsors is higher for traditional issuers than for technology firms. We further discover that sponsors and underwriters are playing substitution roles rather than complementary roles. In order to examine the regulatory policy impact, our research also compares the role of IPO sponsors before and after the launch of the new sponsor regulatory regime in 2013. The empirical findings lend support to our argument that after the launch of the new regulations, public awareness of sponsors is raised, respect towards more reputable sponsor increases, and thus, the role of sponsors becomes more important than before.     

Exploring technology readiness for mobile payment app users

ABSTRACT

The study aims to better understand the various technology readiness segments by assessing how their readiness relates to demographics variables and their adoption, attitude, ease-of-use, usefulness and continuance intention to use mobile payment apps using the technology readiness index. Using a convenience sample of 416 from a consumer panel, a two-step cluster analysis shared similarities with three of the original technology readiness segments (pioneers, paranoids and explorers) while the other two segments clustered together into a fourth segment, hesitant-sceptics. The results indicate that South African mobile users are ready to use mobile payment applications, with the ‘explorer’ emerging as the best segment to target due to optimism levels, while the hesitant-sceptic segment represent the key to unlocking the real potential value of mobile payment apps. Understanding different segments provides marketers with the opportunity to select viable segments and to customise strategies to increase uptake and continued use according to customer needs.     

‘The capital market is dead’: the difficult birth of index-linked gilts in the UK

This article describes how and why the Thatcher government introduced index-linked gilts in 1981. It outlines the earlier deliberations by the monetary authorities during the 1950s and 1960s on how an indexed government security might help or hinder the fight against inflation. Although these discussions came to nothing, rising inflation and increasing difficulties with managing the gilt-edged market during the 1970s revived interest in the indexation of government securities. Both the Page Commission in 1974 and the Wilson Report in 1980 recommended the introduction of inflation-indexed securities, but the election of the Conservative government in 1979 gave real momentum to their possible issuance. Although Margaret Thatcher was initially opposed to indexation, Nigel Lawson galvanized the Treasury and the Bank of England to work on a scheme to issue index-linked gilts as a means of improving economic performance. The article traces the contentious series of discussions surrounding the possible effects of index-linked gilts on government debt interest costs, on monetary policy and monetary targets, and on the possible ‘crowding out’ of corporate bonds and equities which could not offer a guaranteed real return. Despite teething problems, the introduction of inflation-linked bonds in the UK was deemed a success.     

Measuring the effectiveness of US monetary policy during the COVID-19 recession

The COVID-19 recession that started in March 2020 led to an unprecedented decline in economic activity across the globe. To fight this recession, policy makers in central banks engaged in expansionary monetary policy. This paper asks whether the measures adopted by the US Federal Reserve (Fed) have been effective in boosting real activity and calming financial markets. To measure these effects at high frequencies, we propose a novel mixed frequency vector autoregressive (MF-VAR) model. This model allows us to combine weekly and monthly information within a unified framework. Our model combines a set of macroeconomic aggregates such as industrial production, unemployment rates, and inflation with high-frequency information from financial markets such as stock prices, interest rate spreads, and weekly information on the Fed's balance sheet size. The latter set of high-frequency time series is used to dynamically interpolate the monthly time series to obtain weekly macroeconomic measures. We use this setup to simulate counterfactuals in absence of monetary stimulus. The results show that the monetary expansion caused higher output growth and stock market returns, more favorable long-term financing conditions and a depreciation of the US dollar compared with a no-policy benchmark scenario.     

Data-driven tree structure for PIN models

Probability of informed trading (PIN) models characterize trading with certain types of information through a tree structure. Different tree structures with different numbers of groups for market participants have been proposed, with no clear, consistent tree used in the literature. One of the main causes of this inconsistency is that these trees are artificially proposed through a bottom-up approach rather than implied by actual market data. Therefore, in this paper, we propose a method that infers a tree structure directly from empirical data. More precisely, we use hierarchical clustering to construct a tree for each individual firm and then infer an aggregate tree through a voting mechanism. We test this method on US data from January 2002 for 7608 companies, which results in a tree with two layers and four groups. The characteristics of the resulting aggregate tree are between those of several proposed tree structures in the literature, demonstrating that these proposed trees all reflect only part of the market, and one should consider the proposed empirically driven method when seeking a tree representing the whole market.

     

INVESTIGATING NONNEUTRALITY IN A STATE-DEPENDENT PRICING MODEL WITH FIRM-LEVEL PRODUCTIVITY SHOCKS

In a model with fixed cost of price adjustment and idiosyncratic shocks, two parameterizations match a large set of microeconomic facts, yet display different degrees of nonneutrality. Although there is substantial nonneutrality in both cases, the model does not behave like a time-dependent model, as changes in the distribution of firms account for roughly a third of the short-run response of the price level to a monetary shock. We use the model to examine how aggregating firm behavior can generate flat hazards; we also find that a recently developed steady-state statistic is an imperfect guide to characterizing nonneutrality.     

FORMAL SEARCH AND REFERRALS FROM A FIRM'S PERSPECTIVE

We explore the relationship between firms' characteristics and recruitment strategies. We present a theoretical search model with two search channels: a costly formal channel and a costless informal channel (referrals). We empirically test the model predictions and find that: larger firms search more formally; firms search more formally for high-skilled workers; the positive relationship between firm's size and formal search intensity also holds for firms not using referrals; firms using referrals invest less into formal search compared to firms not using referrals; larger firms hire less often by referrals than smaller firms; and larger search effort leads to more applicants.     

Are we ‘sharing’ or ‘gig-ing’? A classification system for online platforms

There is a growing debate about the nature and extent of platform control over workers. Companies claim they are merely ‘matchmakers’ while labour advocates argue that these organisations exercise granular control over workers. Blending the fields of information science and labour relations, this article develops a classification system of sequential control to delineate between ‘high control’ and ‘low control’ platforms. In doing so, this article provides a theoretical method to distinguish ‘sharing’ versus ‘gig’ platforms and argues that worker autonomy—how platforms foreclose worker choice—can be used to understand platform control.     

Managing Technological,Sociopolitical, and Institutional Change in the New Normal

A New Normal environment for business has emerged in the years after the 2008 financial crisis based on numerous changes in the world's economic, technological, demographic, and sociopolitical factors. This combination of changes has created a New Normal environment for firms with major implications for managers, strategists, and entrepreneurs alike. It has resulted in an environment with new challenges and opportunities that are considerably different from what firms had to contend with in the years previous. In this paper, we present the main changes that characterize the current New Normal business environment and highlight some key implications for strategy and management. Then, we present the nine articles in this special issue dealing with different dimensions of this new environment for firms. Subsequently, we outline some future research questions that could help to advance our knowledge of the New Normal environment and its implications for firms and management theories. In examining the New Normal, it is important to be reminded that the world is indeed round and even small actions on one side of the globe can have a major impact on organizations on the other side of the globe.