Contract expiration and sales price

This article represents the first empirical attempt to detect the relationship between sales price and listing (or contract) period. Specifically, we examine the relationship between sales price and contract expiration days. Our hypothesized positive relationship between sales price and contract expiration days is borne out by the results of this study. These results show that the home seller is able to exact a price premium of 0.04% per contract day that he/she is able to preserve. Alternatively stated, he/she will concede a price discount of 0.04% per day, on average, as the sales contract approaches its expiration. Simple analyses of time on the market (TOM) without controlling for listing period may yield misleading signals.     

Measuring the impact of sales on earnings and equity price

In this paper we examine how sales affect earnings and in turn the stock price using a model in which sales contribute to earnings by a fixed sales margin rate and the stock price responds more sensitively to sales-induced earnings than to non-sales-induced earnings. We report that the regression coefficient of the sales margin (2.54) is about three times the earnings response coefficient (0.85) for the full sample and can be as high as 19 times the earnings response coefficient for an industry (i.e., 11.95 vs. 0.62 for restaurants). We contribute to the literature by identifying and documenting factors that make separating out the sources of earnings more important in equity pricing.

浅析中俄跨境人民币结算

人民币跨境人民币业务源于贸易结算,进而扩展到了投融资与金融交易等领域。因此推行跨境人民币结算的成本收益不应只考虑贸易结算,必须把投融资与金融交易包括在内。近年来对俄跨境人民币结算取得了一些成效,但仍然存在着结算渠道不完善、现钞回流方式单一、人民币输出力度不足和综合服务水平不高等问题,为此应该在增加中俄本币结算代理行数量基础上探索人民币清算行集中清算模式,实施推进中俄货币互换,扩大对俄人民币直接投资,在现有的政策框架内完善在俄人民币回流机制,提升跨境人民币结算的金融服务管理水平,跨境贸易人民币结算制度与原有外汇结算管理制度相衔接。     

The impact of nominal stock price on ex-dividend price responses

In this paper, we examine whether nominal stock price can help to explain the ex-dividend day anomaly where stock prices drop by less than the dividend amount on the ex-dividend date. We find that stocks with lower nominal prices have ex-dividend day price drops that are more consistent with theoretical predictions based on an efficient market. After controlling for factors that have been previously documented to influence ex-dividend day stock price behavior, price-drop-to-dividend ratios are closer to one for lower priced stocks. To further explore this phenomenon, we examine the change in the price-drop-to-dividend ratio around stock splits. Firms that split their shares have a larger price-drop-to-dividend ratio after the split, and companies that reverse split their shares have a smaller price-drop-to-dividend ratio after the split. Our evidence indicates that ex-dividend day stock price behavior is influenced by the nominal price of a share and that this relation could also influence the decision to split a firm’s shares.     

The impact of sentiment on price discovery

We study how investor sentiment affects the speed with which prices reflect information. Price discovery is more timely for firms with greater sensitivity to sentiment, as measured by a sentiment beta. Our research improves our understanding of the price formation process when sentiment is not assumed to be constant. Our research design is novel as it considers a sentiment beta as well as economy‐wide sentiment. This provides more comprehensive evidence on the impact of differing types of sentiment on the price formation process.     

Economics of blockchain-based securities settlement

We undertake economic modeling of the behavior of participants in blockchain-based securities settlement implemented through hashed timelock contracts (HTLCs). HTLCs have been noted to have the problem of failure when one of the participants attempted to void the transaction by making a late signature. We propose that the premium should be paid by a structurally favorable participant and show that failure due to late signatures rarely occurs according to the utilities of the participants after the introduction of the premium theoretically. Then we conduct quantitative analysis using KRX bond settlement data and show that the proposed method provides better settlement results than the benchmark model. In particular, our results help regulator or policy makers consider fintechs in their regulatory and policy decisions without significantly departing from their original framework.     

The impact of cost allocation errors on price and product-mix decisions

We use simulations to examine the impact of cost allocation errors on pricing and product-mix decisions. We compare the imperfect cost allocation of cost systems based on heuristics to the ideal cost allocation of a benchmark model. First, we find that more complex cost systems are associated with substantially lower profit errors. Second, we decompose the profit error and find that production quantity errors are larger than product portfolio errors indicating that reducing product portfolio errors is less critical in designing cost systems. We also document that overproduction errors are larger than underproduction errors and errors from keeping unprofitable products are larger than errors from dropping profitable products suggesting that cost systems tend to underestimate full costs. Third, we find that profit errors increase for more complex cost systems as resource sharing levels rise, which is an interesting counter intuitive result.     

The immediate price impact of trades on the Australian Stock Exchange

We study the immediate price impact of a single trade executed in the Australian Stock Exchange (ASX). By ordering the top 300 stocks on the ASX in order of their free float market capitalization, a clear pattern emerges, with higher cap stocks experiencing lower price impact than lower cap stocks for the same traded volume. We investigate this relationship in detail, and show that the price impact and liquidity scale as a power of the market capitalization. This relationship is used to obtain a single market impact curve which shows average price shift as a function of volume traded. We obtain similar results for every year from 2001 to 2004.     

New evidence on price impact of analyst forecast revisions

Previous research shows a positive relationship between consensus forecast revisions and stock returns in developed markets. We obtain new evidence from four major Asia-Pacific markets that suggest that abnormal returns are related to latest forecast revisions. The price impact of negative revisions is consistently stronger than that of the positive revisions. We also found considerable differences in price impact between developed and emerging markets for positive revisions, while no such difference is detected for negative revisions. The latest forecast revisions and category of analysts (those working in international broking firms) appear to be two key determinants of abnormal stock returns.     

Stock returns after major price shocks: The impact of information

This paper focuses on stocks that experience major price changes. Using analyst reports as a proxy, I find that price events accompanied by information are followed by drift, while no-information ones result in reversals. One interpretation of these results is that investors underreact to news about fundamentals and overreact to other shocks that move stock prices. Consistent with this hypothesis, information-based price changes are more strongly correlated with future earnings surprises than no-information ones. Furthermore, drift exists only when the direction of the price move and of the change in analyst recommendations have the same sign. Finally, the ratio of no-information to information-based price shocks is strongly correlated with aggregate implied volatility and also forecasts momentum returns.     

The impact of transaction duration,volume and direction on price dynamics and volatility

We explore the role of trade volume, trade direction, and the duration between trades in explaining price dynamics and volatility using an Asymmetric Autoregressive Conditional Duration model applied to intraday transactions data. Our results suggest that volume, direction and duration are important determinants of price dynamics, while duration is also an important determinant of volatility. However, the impact of volume and direction on volatility is marginal after controlling for duration, and the impact of volume on volatility appears to be confined to periods of infrequent trading.     

The impact of share price on seasonality and size anomalies in Australian equity returns

Given the high correlation between a firm's stock price and market capitalisation, it is possible that the well-documented size anomaly is masking a share-price effect. Using a seemingly unrelated regression model to accommodate contemporaneous correlation between portfolios, we estimate the separate effects of firm size and share price on returns to Australian equity portfolios. The analysis is also extended to estimate seasonal components of size and price effects. Our major findings are: (i) firm size and share price have significant and independent effects on portfolio returns averaged over all months, (ii) the familiar negative relation between size and returns is confirmed across all months, and (iii) the relation between share price and returns is negative in July and positive in all other months (with the exception of January where no price effect occurs). These findings, which are consistent across sub-periods and robust to method variations, highlight the need for future research to provide an economic foundation for the relation between average returns, size and price.     

The waiting period of initial public offerings

The length of time it takes an IPO firm to go public (called ‘waiting period’) reflects multiple layers of scrutiny from underwriters, auditors, venture capitalists, institutional investors, and regulators. Accordingly, we show that the waiting period is a good barometer of ex ante uncertainty about future cash flows and that it has predictive power after the firm goes public. We find that firms marked by short waiting periods experience lower underpricing and less uncertainty and superior stock/operating performance in the aftermarket. We also report that smaller firms are taking longer to go public after SOX Act, thus providing justification for the 2012 JOBS Act.     

The determinants of the price impact of block trades: further evidence

This article extends previous literature which examines the determinants of the price impact of block trades on the Australian Stock Exchange. As previous literature suggests that liquidity exhibits intraday patterns, we introduce time of day dummy variables to explore time dependencies in price impact. Following theoretical developments in previous literature, the explanatory power of the bid–ask spread, a lagged cumulative stock return variable and a refined measure of market returns are also examined. The model estimated explains approximately 29 per cent of the variation in price impact. Block trades executed in the first hour of trading experience the greatest price impact, while market conditions, lagged stock returns and bid–ask spreads are positively related to price impact. The bid–ask spread provides most of the explanatory power. This suggests that liquidity is the main driver of price impact.     

辽宋时期谍战的运用

在辽宋160多年并存关系中,宋辽战争长达二十五年,其间有休战,有和谈,主要战役将近十个,不论是在战时还是在和平时期两国间展开的谍战非常频繁。本文通过整理辽、宋间谍的史料记载,研究辽、宋关系中间谍的运用和发挥的作用,从而揭示两国战争与和平时期的特殊关系。     

The price impact of foreign institutional herding on large-size stocks in the Taiwan stock market

This study constructs a panel threshold regression model to explore the price impact of foreign institutional herding of firms listed in the Taiwan Stock Exchange during January 2000 to June 2008. Our panel threshold model is constructed to explore the price impact of foreign institutional investors?? herding in the Taiwan stock market after controlling the firm size. By examining the presence of threshold effect, this study analyzes whether firm size would obviously and asymmetrically affect the explanation for the effect of changes in foreign investors?? share ownership on abnormal returns. The empirical results of this study find the significant evidence of threshold effect which divides the stocks into large-size and small-size firms. It is found that foreign institutional investors in the Taiwan stock market tend to hold large-size stocks listed in the Taiwan Stock Exchange. There is an apparent increase in the subsequent abnormal returns on large-size stocks bought in bulk by foreign investors. The signals of changes in share ownership initiated by foreign institutional investors would reveal further information for improving the performance of asset reallocation decisions in Taiwan. The panel threshold model constructed in this paper well describes the price impact of institutional herding yet eschews the possibly subjective data snooping issue resulting from the two-pass sorting method as proposed by previous related researches.     

The impact of business group affiliation on stock price informativeness: Evidence from an emerging market

This paper examines the relationship between business group affiliation and stock price informativeness in an emerging market setting. We use stock price synchronicity as a measure, and study the impact of group affiliation ‐specifically the extent of affiliation, ownership structure and existence of group bank‐ on firm specific information content. Results reveal that the amount of firm‐specific information capitalized into stock prices tends to be lower (higher) when the firm is group‐affiliated (unaffiliated), indirectly (directly) owned, and affiliated group has (does not have) a group bank. Additionally, the extent of group affiliation maintains a non‐linear relationship with synchronicity, suggesting that the perception of higher versus lower levels of group ownership differs.     

The impact of multilateral trading facilities on price discovery: Further evidence from the European markets

This study examines relative price discovery for three major European indices, FTSE, CAC, and DAX, their futures and exchange traded funds (ETFs) using the data on 5‐minute intraday transaction prices over a four‐year period. We computed both Hasbrouck (1995) information share with error bounds and Gonzalo and Granger's (1995) common factor weights approach. Gonzalo and Granger's (1995) common factor weights suggest the index futures contracts play a dominant role in price discovery in the CAC market: the CAC 40 index futures lead the price discovery and Lyxor CAC 40 ETFs serving the second resort for information transmission. This could be due to the less frequent trading of ETFs. More importantly, CAC40 under the Gonzalo & Granger (1995) test shows upper and lower error bounds in good range may be the main reason to drive for the meaningful results. In contrast, the upper and lower bounds estimated from the Hasbrouck (1995) are far distant for most cases. Finally, FTSE and DAX markets offer compelling evidence to show that ETFs lead price discovery and spots and futures follows.     

Short sales and speed of price adjustment: Evidence from the Hong Kong stock market

We present empirical evidence that short sales contribute to market efficiency by increasing the speed of price adjustment to not only private/public firm-specific information but also market-wide information. Shortable stocks are characterized by weaker trade continuity and stronger quote reversals. They adjust faster to new information than non-shortable counterparts. These findings remain robust even in an “up” market condition in which short sales are not binding. The amount of information incorporated in each trade is also significantly higher for shortable than non-shortable stocks in both “up” and “down” market conditions. After controlling for firm size, trading volume, liquidity, price and option trading, short sales stand out as one of the significant factors that speed up the price adjustment.