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Short‐term cash need plays a critical role in equity issuance decisions. Consequently, the ease with which a seasoned equity offer (SEO) is completed can have a direct effect on the cost of raising equity. The purpose of this paper is to examine whether liquidity is likely to affect the ease with which an offer is completed, as proxied by the length of the offer.

This study uses multiple regression analysis to establish the link between liquidity and the duration of the SEO completion cycle. To provide support to the findings, event study methodology is employed to study the abnormal volume turnover during the pre‐SEO announcement period for firms with shorter and longer registration periods.

The paper finds that firms with greater liquidity come to market sooner. The results indicate a small yet significant effect of liquidity on the duration of the SEO completion cycle. There is also evidence that lower pre‐announcement period volume turnover is associated with a longer registration period – which has some implications for issuance costs. The results are robust to the inclusion of industry or firm effects, use of different regression specifications, and application of alternative liquidity measures.

This paper belongs to the growing literature that examines the link between liquidity and the firm's equity issuance costs. It adds to the literature by: examining the determinants of the time it takes to complete an offering; providing the evidence that liquidity may affect the ease with which investment bankers place new shares; and presenting the evidence using newer measures of liquidity based on low‐frequency data.

When a stock is added into the S&P 500 Index, it in effect becomes cross-listed in the Index derivative markets. When index-based trading strategies such as index arbitrage are executed, the component stocks are directly affected by such trading. We find increased volatility of daily returns, plus increased trading volume for the underlying stocks. Utilizing a list of S&P 500 Index composition changes over the period September 1976 to December 2005, we study the market-adjusted volume turnover and return variance of the stocks added to and deleted from the Index. The results indicate that after the introduction of the S&P 500 Index futures and options contracts, stocks added to the S&P 500 experience statistically significant increase in both trading volume and return volatility. Both daily and monthly return variances increase following index inclusion. When stocks are removed from the index, though, neither volatility of returns nor trading volume experiences any significant change. So, we have new evidence showing that Index inclusion changes a firm's return volatility, and supporting the destabilization hypothesis.

The purpose of this study is to examine the impact of position adjusted turnover ratio on mutual fund performance.

The author calculates position adjusted turnover ratio in the same three steps as Edelen et al. (2013). Position adjusted turnover ratio is intended to be a trading cost proxy that captures both fund trading volume and per-trade costs. A metric of eight Morningstar performance measures is utilized.

Results show that funds with a higher position adjusted turnover ratio tend to have a lower risk-adjusted performance, such as indicated by both Sharpe and Sortino ratios, and even though these funds may have a higher annualized return.

The sample selection process is subject to a survival bias. Also, this study utilizes Morningstar performance measures rather than the widely used factors models.

This study examines the impact of invisible costs from fund trading. These findings encourage fund managers to take strategic steps to reduce the overall invisible cost impact to improve fund performance.

Few studies have investigated fund trading cost measured by position adjusted turnover ratio and its impact on fund performance. Further, this study contributes to current literature by using eight Morningstar fund performance variables, which are practitioner-oriented and are accessible by investors.

We examine tick sizes, stock prices, and share turnover in eighteen stock markets in developed countries and find that differences in mandatory tick sizes explain a significant proportion of the variation in stock prices among markets, and that lower percentage tick sizes are not associated with higher turnover. We consider the implications of these findings for the recent decimalization of stock trading in the United States, and conclude that decimal trading is likely to result in lower stock prices (due to stock splits) with no substantial change in dollar trading volume.

The purpose of this paper is to examine the impact on stock liquidity following the reduction of minimum tick size from $0.01 to $0.005 for a selection of dual-listed and property stocks on the New Zealand Exchange (NZX) during 2011.

Various liquidity measures were examined six months either side of the change in minimum tick size for the eligible stocks and these were compared to a sample of stocks matched on similar liquidity characteristics. Liquidity measures examined in the paper include quoted and effective spread, volume, depth and binding-constraint probability.

After controlling for firms matched on similar pre-period liquidity characteristics both spread and depth decline significantly. Evidence that small firms experience significant declines in trading activity was also found, and while firms with higher binding-constraints probability have greater declines in spread, their decline in depth is greater still.

The small sample of 17 stocks eligible for the $0.005 minimum tick size potentially impacts on the strength of the statistical analysis. As such, it is harder to detect statistically significant changes in liquidity.

These findings have important implications for policymakers as the hoped for benefits of smaller tick increments may only be fully realized by larger more active stocks.

The paper examines the impact of a change in minimum tick size on eligible New Zealand Exchange (NZX) stocks to determine whether it meet the stated NZX goal of boosting liquidity.

This paper aims to investigate the herding behavior in the French stock market and its effect on the idiosyncratic conditional volatility at a sectoral level.

This sample covers all the listed companies in the French stock market, classified by sector, over four major crisis periods. The author modifies the cross-sectional absolute deviation (CSAD) model to include trading volume and investors sentiment as herding triggers. Furthermore, the author uses a modified GARCH model to investigate the effect of herding on conditional volatility.

Herding is present in the French market during crises, and it is present in only some sectors during the entire period. The main trigger for investors to embark into a collective herding movement differs from one sector to another. Furthermore, herding behavior has an inhibiting effect on market conditional volatility.

The author modifies the CSAD model to investigate the presence of herding in the French stock market at a sectoral level during turmoil periods. Furthermore, the particularly designed GARCH model provides new insights on the effect of herding and volume turnover on the conditional volatility.

The purpose of this paper is to test the hypothesis that the valuations of European real estate securities are, in part, determined by the relative liquidity in the companies’ shares.

Six groups are derived for our sample of European listed real estate companies. They are split between the UK and Europe, and then both sets are categorised by liquidity as large, medium or small. These are then tested for market depth, market tightness and difference in valuations over the cycle 2002-2012. Intuitively, it can be expected that the stock market valuation premium for companies with greater liquidity increases post the global financial crisis.

The key discriminating variable that drives companies’ liquidity and valuations is market capitalisation. For both the UK and Europe, the valuation premium of larger companies vs small companies has increased significantly since 2008 (by 20-40 per cent), which can be attributed to the increased value placed on liquidity post GFC.

The sample size is relatively small, and subject to individual company influences on stock market valuation.

The key implications from the findings are the cost and quantum of new equity capital available to companies with superior liquidity, and the possibility of exclusion from portfolios for companies with low liquidity.

Previous studies have focussed on returns for measuring a liquidity premium. This study focusses on relative valuations and how the liquidity premium changes throughout the cycle.

This chapter analyzes the market response to ticker symbol change of stocks with non-conventional voting structures (or multiple class shares, MCS). I find a significant drop (increase) in prices and liquidity (short-sale activity) of MCS stocks, with the most severe decrease being reported for the lower-voting class. This evidence suggests that investors revised downward the assessment of MCS stocks. Regression analysis shows that a significant part of the cross-sectional variation of the event-results is explained by firm's agency costs. Overall, the chapter stresses the importance of enhanced market transparency in curbing private benefits.

The purpose of this paper is to establish a group of grey prediction models and relative degree model to study the characteristics and trend of the logistics industry development in Henan province scientifically. The study results can provide references for the development policy of the logistics industry in Henan province.

The paper constructs grey prediction models and grey buffer operator models which are related to the distribution of logistics industry in Henan province, and selects prediction models by comparing model accuracy, and use them to forecast the development trend of logistics industry in future ten years of Henan province. Using the grey relative models, the paper analyses development dynamic and prospect which support the development of logistics industry, and provide some references for transferring the pattern of economic growth of Henan province, forming new economic growth point and formulating relevant policies. High prediction accuracy models are selected to forecast the future development trend of logistics industry in the next ten years.

Results show that the modern logistics industry in Henan province has been a steady growth in overall, the main growth points of the logistics industry development in Henan province are roadway miles (km), roadway (100 million tonnes/km), freight turnover (100 million tonnes/km) and waterway (100 million tonnes), the growth points for the future development of logistics industry in Henan province are the roadway freight volume, roadway passenger volume and waterway freight volume.

Regional economic competition has become an important index for measuring a country's economic development level. Logistics industry plays an important role in the regional economic development, such as promoting coordinated development of regional economy and upgrading industrial optimization, and playing a major role in industrial transfer. Hence, logistics industry, which is urgently needed to solve by the government, has become important forces for promoting the growth of economy and a basic pillar industries of regional economy.

The paper presents the systematic results of development prediction of modern logistics industry in Henan province and its dynamic analysis by using grey systems theory, not only to predict the trend of the development of the logistics industry, also to analyse the future development of logistics industry in the leading power factors.

PurposeWith the current interest in all aspects of supply chain management, the demands on warehousing have changed significantly within the past few years. In an attempt to meet this challenge, warehouses have become more concerned with proper slotting and storage techniques. This paper seeks to evaluate slotting measures and storage assignment strategies in a simulated manual bin‐shelving (low level picker‐to‐part) warehouse in terms of travel distance and the fulfillment time to complete an order.Design/methodology/approachThe approach utilises Monte Carlo simulation of a manual bin‐shelving pick area.FindingsThe results illustrate that popularity, turnover, and cube‐per‐order index (COI) performed best among slotting measures. Several new storage assignment strategies utilizing the concept of “golden zone” picking, which slots high demand stock‐keeping units (SKUs) at the height between the picker's waist and shoulders, were introduced. Results from the simulation study show that the golden zone storage assignment strategies generated significant savings in order fulfillment time compared to storage policies that ignore the golden zone concept.Originality/valueProvides an evaluation of slotting measures and storage assignment strategies that generated significant savings in order fulfillment time.