Maturity Driven Mispricing of Options

Does Internet Research Activity by Sophisticated Investors Lead to Heightened Adverse Selection?

This paper presents an experiment that examines the effect of pro forma earnings disclosures on the judgments of analysts (i.e., more sophisticated investors) and nonprofessional (i.e., less sophisticated) investors. In the experiment, participants developed stock price assessments after reviewing background financial information and a current earnings announcement for a company. The earnings announcement was manipulated to report only GAAP earnings in one condition and both pro forma and GAAP earnings in the other condition. Consistent with empirical evidence, the pro forma earnings in our experiment exceeded GAAP earnings. The results indicate that nonprofessional investors who received an earnings announcement that contained both pro forma and GAAP disclosures assessed a higher stock price than did nonprofessionals who received an announcement containing only GAAP disclosures. Financial analysts' stock price judgments were not affected by the pro forma disclosures. Followup analyses suggest that analysts and nonprofessional investors used different valuation models and information processing. Analysts used well-defined valuation models, based on either earnings-multiples or cash flows, while the nonprofessional investors were more likely to use simpler, heuristic-based valuation models. The pro forma disclosure did not cause nonprofessional investors to assess a higher earnings number for determining a stock price, but rather caused nonprofessionals to perceive the earnings announcement as more favorable, which in turn caused them to convert earnings or some other performance metric into a higher stock price. This effect appears to be due to unintentional cognitive effects, rather than nonprofessionals relying on pro forma earnings information because they perceived it to be informative.

Changes in the Bid-Ask Components Around Earnings Announcements: Evidence from the Copenhagen Stock Exchange

Purpose The impact of volatility crush can be devastating to an option buyer and results in a substantial capital loss, even with a directionally correct strategy. As a result, most volatility plays are for option sellers, but the profit they can achieve is limited and the sellers carry unlimited risk. This paper aims to demonstrate the dynamics of implied volatility (IV) as being influenced by effects of persistence, leverage, market sentiment and liquidity. From the exploratory factor analysis (EFA), they extract four constructs and the results from the confirmatory factor analysis (CFA) indicated a good model fit for the constructs. Design/methodology/approach This section describes the methodology used for conducting the study. This includes the study area, study approach, sources of data, sampling technique and the method of data analysis. Findings Although there is extensive literature on methods for estimating IV dynamics during earnings announcement, few researchers have looked at the impact of expected market maker move, IV differential and IV Rank on the IV path after the earnings announcement. One reason for this research gap is because of the recent introduction of weekly options for equities by the Chicago Board of Options Exchange (CBOE) back in late 2010. Even then, the CBOE only released weekly options four individual equities – Bank of America (BAC.N), Apple (AAPL.O), Citigroup (C.N) and US-listed shares of BP (BP.L) (BP.N). The introduction of weekly options provided more trading flexibility and precision timing from shorter durations. This automatically expanded expiration choices, which in turned offered greater access and flexibility from the perspective of trading volatility during earnings announcement. This study has demonstrated the impact of including market sentiment and liquidity into the forecasting model for IV during earnings. This understanding in turn helps traders to formulate strategies that can circumvent the undefined risk associated with trading options strategies such as writing strangles. Research limitations/implications The first limitation of the study is that the firms included in the study are relatively large, and the results of the study can therefore not be generalized to medium sized and small firms. The second limitation lies in the current sample size, which in many cases was not enough to be able to draw reliable conclusions on. Scaling the sample size up is only a function of time and effort. This is easily overcome and should not be a limitation in the future. The third limitation concerns the measurement of the variables. Under the assumption of a normal distribution of returns (i.e. stock prices follow a random walk process), which means that the distribution of returns is symmetrical, one can estimate the probabilities of potential gains or losses associated with each amount. This means the standard deviation of securities returns, which is called historical volatility and is usually calculated as a moving average, can be used as a risk indicator. The prices used for the calculations are usually the closing prices, but Parkinson (1980) suggests that the day’s high and low prices would provide a better estimate of real volatility. One can also refine the analysis with high-frequency data. Such data enable the avoidance of the bias stemming from the use of closing (or opening) prices, but they have only been available for a relatively short time. The length of the observation period is another topic that is still under debate. There are no criteria that enable one to conclude that volatility calculated in relation to mean returns over 20 trading days (or one month) and then annualized is any more or less representative than volatility calculated over 130 trading days (or six months) and then annualized, or even than volatility measured directly over 260 trading days (one year). Nonetheless, the guidelines adopted in this study represent the best practices of researchers thus far. Practical implications This study has indicated that an earnings announcement can provide a volatility mispricing opportunity to allow an investor to profit from a sudden, sharp drop in IV. More specifically, the methodology developed by Tan and Bing is now well supported both empirically and theoretically in terms of qualifying opportunities that can be profitable because of the volatility crush. Conventionally, the option strategy of shorting strangles carries unlimited theoretical risk; however, the methodology has demonstrated that this risk can be substantially reduced if followed judiciously. This profitable strategy relies on a set of qualifying parameters including liquidity, premium collection, volatility differential, expected market move and market sentiment. Building upon this framework, the understanding of the effects of persistence and leverage resulted in further reducing the risk associated with trading options during earnings announcements. As a guideline, the sentiment and liquidity variables help to qualify a trade and the effects of persistence and leverage help to close the qualified trade. Social implications The authors find a positive association between the effects of market sentiment, liquidity, persistence and leverage in the dynamics of IV during earnings announcement. These findings substantiate further the four factors that influence IV dynamics during earnings announcement and conclude that just looking at persistence and leverage alone will not generate profitable trading opportunities. Originality/value The impact of volatility crush can be devastating to the option buyer with substantial capital loss, even for a directionally correct strategy. As a result, most volatility plays are for option sellers; however, the profit is limited and the sellers carry unlimited risk. The authors demonstrate the dynamics of IV as being influenced by effects of persistence, leverage, market sentiment and liquidity. From the EFA, they extracted four constructs and the results from the CFA indicated a good model fit for the constructs. Using EFA, CFA and Bayesian analysis, how this model can help investors formulate the right strategy to achieve the best risk/reward mix is demonstrated. Using Bayesian estimation and IV differential to proxy for differences of opinion about term structures in option pricing, the authors find a positive association among the effects of market sentiment, liquidity, persistence and leverage in the dynamics of IV during earnings announcement.

The knowledge of transaction costs is important for market participants. Profits accrued while dealing in e.g. commodity futures do not just depend on the development of the futures or the underlying commodity, but on the transaction costs as well. In the commodity futures markets, transaction costs – usually addressed as the bid/ask spread – are influenced if not set by the market makers (liquidity providers) and other intermediaries that broker the contracts. This paper tests the assumption that liquidity providers have the ability to shift prices, and this ability is negatively correlated with the degree of competition. Using Roll’s measure (1984) to estimate the bid/ask spread, the authors can show that liquidity providers do have an influence on prices. To put this result into context, the margin for market makers is calculated on the basis of transactions in wheat-futures at the Euronext Paris that took place in May 2012, ranges between 0.0047% and 0.0055%. It is within this margin that market-makers could influence market prices of the wheat contract.  

Benefit programmes protect individuals against loss of income and provide unemployed individuals the possibility of finding a better match between their qualifications and job vacancies. This positive aspect of inducing workers to achieve better job matches has been shown to increase economic efficiency (Acemoglu & Shimer, 1999; Marimon & Zilibotti, 1999). However, unemployment benefits may also distort incentives by subsidizing long and unproductive job searches. In fact, the generosity of unemployment benefits is generally considered the main factor by which benefit systems affect unemployment. From a societal point of view, therefore, the optimal unemployment benefit system will balance considerations for protection with those for distortion (Feldstein, 2005; Mortensen, 1987). Theory suggests that putting a limit on benefit duration will tend to accelerate job search from the beginning of the unemployment spell and thereby shorten unemployment duration (Pissarides, 2000). Thus, generosity of benefits is determined not only by the amount paid but also by the duration of benefit entitlement. In the US, replacement rates1 are low and duration is short compared to benefit systems in most European countries. In 2005 the maximum duration of unemployment insurance entitlement among OECD countries 2 was shortest in the US at 6 months 3 and longest in Denmark, Norway, Portugal, the Netherlands, France, Finland and Spain, varying between 23 and 48 months (OECD, 2007). At the same time, the gross initial replacement rate was around 50% in the US, while varying between 62% and 90% in the aforementioned European countries. The lower level of generosity of benefits in the US compared to Europe is consistent with the observation of higher levels of active searches and a greater willingness to accept inferior jobs by unemployed workers in the US compared to Europe (Layard, Nickell & Jackman, 2005). As a consequence European policy-makers may be tempted to reduce the generosity of unemployment systems in order to reduce high unemployment levels4. While lowering the replacement rate may be politically intractable (indeed, examples of reductions of benefit rates and amounts are rare), the length of the unemployment benefit entitlement period is often used as a political instrument to improve work incentives for the unemployed. In Spain, for example, the benefit period was altered in 1992, in Slovenia in 1998, in Norway in 1997, in the UK in 1996, in Denmark in 1996, 1998 and 1999, and, more recently, in the Czech Republic in 2004, in Hungary and Portugal in 2006, and in Denmark again in 2010. The important public policy question is whether a more generous unemployment benefit system is causally related to higher unemployment rates. As pointed out in Card and Riddell (1993), there can be several complementary explanations for high unemployment rates, including differences in the fraction of nonworking time that is reported as unemployment (particularly among individuals with very low levels of labour supply), and differences in the overall distributions of working and nonworking time. Recent research on the effect of extended duration of unemployment insurance benefits in the US shows that benefit extensions raised the unemployment rate, but at least half of the effect is attributable to reduced labour force exit among the unemployed rather than to the changes in reemployment rates that are of greater policy concern (Rothstein, 2011). This review will focus on the effect on job finding rates of reducing the maximum duration of entitlement of unemployment benefits, and secondarily on the effects on the quality of these jobs. The intervention of interest is reduction in the maximum duration of entitlement of any kind of unemployment benefit with a known expiration date. The benefits may be unemployment insurance (UI) benefits, or they may be unemployment assistance (UA)/social assistance (SA) benefits as long as they have a known expiration date. In the majority of OECD countries, the UI benefit has a time-limit. In fact, only Belgium has an unlimited UI period. In other countries, the maximum duration varies between 6 months (as for example in the UK and the US) and 36 months (in Iceland). In most OECD countries, a secondary benefit is available for those who have exhausted regular UI benefits. This is known as SA benefits. Unlike UI benefits, SA benefits are generally means-tested without any necessary connection to past employment; they pay a lower level of benefit and are indefinite. We know of only one example of a SA benefit with a time limit: the Temporary Assistance to Needy Families (TANF) which is available in the US. The federal government requires states to impose between 2- or 5-year limits on TANF (Gustafson & Levine, 1997). In a minority of OECD countries, UA benefits are paid after exhaustion of UI benefits. Like SA benefits, they are generally means-tested, pay a lower level of benefits and, excepting Hungary, Portugal and Sweden, are indefinite. Unemployment benefits with an indefinite time limit or non-financial benefits will be excluded from this review. Search theory offers an explanation for how this intervention might work. According to search theory, one can derive a relationship between the job-finding rate and the parameters of the benefit system, in particular the maximum benefit duration and the replacement rate (Mortensen, 1977). This relationship is driven by adjustments in search effort and reservation wages. The reservation wage is the minimum wage at which the unemployed are willing to accept a job. Forward-looking unemployed workers chose their current search effort and reservation wage in order to maximize the sum of the utility flow realized during the current period, plus the expected discounted future utility flow given that an optimal strategy will be pursued in every future period. The current search effort and reservation wage are thus affected by the future level of benefits. When the benefit period expires, the unemployed person experiences a potentially large drop in income. As the time of benefit exhaustion approaches, the value to that person of remaining unemployed falls, implying a higher search effort and/or a fall in the reservation wage, leading to a higher exit rate out of unemployment (Mortensen, 1977). This non-stationarity implies that unemployed individuals with different lengths of benefit entitlement have different optimal paths of reservation wage and search effort over time (van den Berg 1990). A shorter entitlement period gives the unemployed individual a stronger incentive to quickly gain employment in order to avoid the drop in income after the exhaustion date. How strong the incentive is depends on the magnitude of the income drop. If no secondary benefit is available for those who have exhausted their current benefit, the incentive to gain employment will be stronger. If an increased job finding rate is mainly driven by lowering the reservation wage, a lower job match quality is to be expected, for example, in the form of lower wages and/or lower re-employment duration. A number of factors may have an impact on the magnitude of the expected increase in the job finding rate. In general, the overall labour market conditions (i.e. the vacancy rate5 and, in particular, the unemployment rate) have an impact on the availability of and competition for jobs. If the vacancy rate is high (i.e. the number of vacancies is high in relation to job seekers) we would expect a bigger effect on job finding rates than if the vacancy rate is low. We would further expect a lower effect if the unemployment rate is high, regardless of the vacancy rate. If the vacancy rate is low coincident with a high unemployment rate, competition for available jobs is likely to be high. If the vacancy rate is high coincident with a high unemployment rate, it suggests mismatch in the labour market (i.e., the process by which vacant jobs and job seekers meet is not efficient) (Filges & Larsen, 2000; Pissarides, 2000). Whether compulsory participation in active labour market programmes is part of the unemployment system may also have an impact on the effect of maximum duration of entitlement. The compulsory aspect of activation may provide an incentive for unemployed individuals to look for and return to work prior to programme participation; the so called threat effect. Filges and Hansen (2015) summarize the available evidence on the threat effect of active labour market programmes and report a significant threat effect of compulsory participation in active labour market programmes. Further, actual participation in active labour market programmes may improve some of the participants' qualifications, thus helping them to find a job. Alternatively, active labour market programmes may have negative stigmatization and signalling effects to employers. Programmes associated with participants having poor employment prospect may carry a stigma. Because of asymmetric information, employers do not know the productivity of new workers, some of whom they might hire from the pool of the unemployed. Prospective employers might then perceive participants in such programmes as low productivity workers or workers with tenuous labour market attachment (Kluve et al. 1999; Kluve et al., 2007). A recent systematic review by Filges et al. (2015) investigated the effect of participating in active labour market programmes and found that there is a significant positive effect, although small, of participating in active labour market programmes. The effect reported in Filges et al. (2015) is however a pure post-programme effect of active labour market programmes; it refers to the period after participation in a programme. The net effect of active labour market programme participation on job-finding rates is, however, composed of two separate effects: a lock-in effect and a post-programme effect. The lock-in effect refers to the period of participation in a programme. During this period, job-search intensity may be lowered because there is less time to search for a job, and participants may want to complete an on-going skill-enhancing activity; hence the lock-in effect. The combination of the two effects, lock-in and post-programme, consequently determines the net effects of active labour market programme participation on unemployment duration. These additional effects on the search behaviour and employment prospects when compulsory participation in active labour market programmes is part of the unemployment system may dampen the observed effects of maximum duration of entitlement on job finding rates. Finally, the type of unemployment benefit may have an impact on the effect on the job finding rate. As mentioned above, some countries employ two systems to provide benefits to unemployed individuals: an unemployment insurance system for individuals who typically have a strong labour market attachment (UI benefits) and a social welfare system for individuals who often have other problems in addition to unemployment (SA or UA benefits). The effect size in social welfare systems offering unemployment benefits with a known expiration date is, due to the participants' lower labour market attachment, expected to be less than the effect size in unemployment insurance systems with a known expiration date. In order to reduce high unemployment levels, policy-makers may wish to reduce the generosity of the unemployment system either in amount (the replacement rate) or in maximum potential duration. The positive correlation between unemployment benefit generosity in terms of the replacement rate and unemployment duration is well established at the empirical level (Layard et al., 2005). However, it may be politically intractable to lower the replacement rate, and there are indeed strong efficiency and equity arguments for having a reasonable value of unemployment benefits (Acemoglu & Shimer, 1999; Marimon & Zilibotti, 1999). Search theory suggests that an increase in unemployment benefit generosity, in terms of maximum duration of benefit entitlement, has a negative impact on the job search activities of the unemployed increasing their unemployment duration. There is clear evidence that the prospect of exhaustion of benefits results in a significantly increased incentive for finding work, although the effect is small (Filges et al., 2013). Hence, shortening the benefit eligibility period may reduce the share of long and unproductive job searches somewhat. The conclusion in Filges et al. (2013) however leaves unanswered the question of by how much reducing the maximum unemployment benefit entitlement will decrease unemployment duration. There are many empirical papers on the effect of maximum benefit entitlement on unemployed individuals (Caliendo, Tatsiramos and Uhlendoff 2009; Bennmarker, Carling & Holmlund, 2007; Ham & Rea, 1987; Hunt, 1995; Katz & Meyer, 1990 and Lalive & Zweimüller, 2004), but the empirical research has not been summarized in a systematic review to obtain a clearer picture of the available evidence on the employment effect of reducing maximum duration of benefit entitlement. One paper provides a review of the literature on how incentives in unemployment insurance can be improved (Fredriksson and Holmlund 2006). However, it is not a systematic review and, furthermore, the authors do not make the important distinction between exits to employment and exits to other destinations such as such as other kinds of benefits or out of the labour force. Distinguishing between destinations is vital. As shown in Card, Chetty and Weber (2007), the exit rate from registered unemployment increases over 10 times more than the rate of re-employment at the expiration of benefits. The difference between the two measures arises because many individuals leave the unemployment register immediately after their benefits expire without returning to work. There is a great deal of political interest in optimizing the unemployment benefit system so it balances the protection and distortion dimensions. The political interest is to reduce the unemployment level, to prevent exploitation of the unemployment benefit system and at the same time protect the unemployed individuals from the consequences of involuntary unemployment. It is therefore of great importance to establish the effect of reducing maximum duration of unemployment benefit entitlement on employment probabilities. The purpose of this review is to systematically uncover relevant studies in the literature that measure the effects of shortening the maximum duration of unemployment benefit entitlement on job finding rates, and to synthesize the effects in a transparent manner. As a secondary objective we will, where possible, investigate the extent to which the effects differ among different groups of unemployed such as high/low educated or men/women, and further explore from which point in the unemployment spell do unemployed individuals react to the length of benefit entitlement. The title for this systematic review was approved in The Campbell Collaboration on 9. October 2012. Study designs that use a well-defined control group are eligible. The main control or comparison condition is no change in maximum duration of benefit entitlement. Non-randomized studies, where the reduction in maximum duration of benefit entitlement has occurred in the course of usual decisions outside the researcher's control must demonstrate pre-treatment group equivalence via matching, statistical controls, or evidence of equivalence on key risk variables (e.g., labour market conditions) and participant characteristics. These factors are outlined in section ‘Assessment of risk of bias in included studies’ under the subheading of Confounding, and the methodological appropriateness of the included studies will be assessed according to the risk of bias model outlined in section ‘Assessment of risk of bias in included studies’. Studies of the effect of reducing unemployment benefit entitlement typically are estimated on data collected from administrative registers or by questionnaires. Studies that use different data sources for treatment and control groups will not be eligible. Only studies that use individual micro-data are eligible. Studies that rely on regional or national time series data are not eligible, even though micro-econometric estimates of individual effects merely provide partial information about the full impact of shortening the maximum duration of benefit entitlement (Calmfors, 1994; Calmfors, 1995). We will include studies irrespective of their publication status, and their electronic availability. We will include unemployed individuals who receive some sort of time limited benefit during their unemployment spell. The International Labour Office (ILO) definition of an unemployed individual is a person, male or female, aged 15-74, without a job who is available for work and either has searched for work in the past four weeks or is available to start work within two weeks and/or is waiting to start a job already obtained (ILO, 1990); however, different countries may apply different definitions of an unemployed individual, see for example Statistics Denmark (2009). We will include participants receiving all types of unemployment benefits with a known exhaustion date. The only restriction is that the benefits must be related to being unemployed. We will therefore exclude individuals who only receive other types of benefits not related to being unemployed. We will include all unemployed participants regardless of age, gender, etc. who receive some sort of time limited benefit during their unemployment spell. The intervention is reduction in the maximum duration of entitlement of any kind of unemployment benefits. The benefits may be unemployment insurance (UI) benefits or they may be unemployment assistance (UA)/social assistance (SA). The only requirement is that the benefit must have a known expiration date. The UI benefit usually has a known time-limit whereas UA and SA usually are indefinite. Unemployment benefits with an indefinite time limit or non-financial benefits will be excluded from this review. The objective is to determine whether reducing the maximum entitlement to unemployment benefits motivates unemployed individuals to find a job more quickly. Distinguishing between destinations is therefore vital. The primary outcome is exits to employment. Studies only looking at exits to other destinations such as other types of social benefits or non-employment and studies who do not distinguish between destinations are not eligible. We will consider secondary outcomes in terms of the impact that reducing the maximum duration of entitlement of benefit has on the duration of re-employment and on income. This will the done in order to obtain a clearer picture of the effect that reducing the maximum entitlement of unemployment benefit has on the quality of the job. If the duration of re-employment or the wage is low, this could indicate that reducing entitlement forces unemployed individuals to find jobs that do not match their qualifications and therefore they may return to unemployment quickly. Outcomes measured as hazard ratios may be reported as an overall effect on the hazard ratio, or may be reported separate for various unemployment duration intervals. All time points reported will be considered. All types of settings are eligible. Relevant studies will be identified through electronic searches of bibliographic databases, research networks, government policy databanks and internet search engines. No language or date restrictions are applied in the searches6. An example of the search strategy for Business Source Elite is listed in Appendix 1.4. The strategy will be modified for the different databases. We will report full details of the modifications in the completed review. Additional searches will be made by means of Google (including Google Scholar) and we will check the first 150 hits. OpenSIGLE will be used to search for European grey literature (http://opensigle.inist.fr/). Copies of relevant documents will be made and we will record the exact URL and date of access for each relevant document. Websites of the following private independent research institutes and economic networks will be searched: IZA -- Institute of the Study of Labor (www.iza.org) CEPR -- Centre for Economic Policy Research (www.cepr.org) NBER -- National Bureau of Economic Research (www.nber.org) MDRC -- the Manpower Demonstration Research Corporation -- (www.mdrc.org) CESifo -- the cooperation between CES (Center for Economic Studies) and IFO (Institute for Economic Research) -- (www.cesifo-group.de/portal/page/portal/ifoHome) are all covered via IDEAS. In addition we will look into the following sites: Danish Economic Councils (www.dors.dk) OECD - the Organisation for Economic Co-operation and Development (www.oecd.org) IMF - The International Monetary Fund (www.imf.org) AIECE - Association of European Conjuncture Institutes (www.aiece.org) ESRC - Economic Social Research Council (www.esrc.ac.uk) Copenhagen Economics (www.copenhageneconomics.com) SSRN -- Social Science Research Network (www.ssrn.com) will also be searched to uncover potential preprint discussion papers. Unpublished theses and dissertations will be searched through the databases: Theses and dissertations and Theses Canada. Copies of relevant documents from Internet-based sources will be made. We will record the exact URL and date of of included studies and of relevant will be of Labor and will be searched for the and the available of of included studies and relevant will be searched for potential new with national and will be considered to and on-going We expect that a of the studies we will have been without of there is no for in labour market This among other from some of of participants due to about of The in these studies without of participants is the of the effect. studies use in benefit or changes of the maximum entitlement period. A policy is to the maximum benefit period when labour market conditions are expected to studies use this policy to the effect on unemployment duration & Rea, 1987; Hunt, and Katz & Meyer, 1990). It is however to rely on such a as these changes any other policy If the of the change are not for it will of the effect will be due to the labour market conditions that to the change in entitlement in the first A more recent & Zweimüller, extended benefit entitlement in and four different in order to the effect of extended benefit entitlement from the impact of labour The extended benefit entitlement was to the labour market problems in and for of The was therefore limited to job seekers aged or in for a limited time period (the after implying that there may be many workers who are to different for time and they different of where no are consider the policy of extended benefit entitlement as thereby to the when it can be that the individuals are not to during the observation period Lalive & Zweimüller, for further The same of apply to all changes to the maximum entitlement period. example the by and of the unemployment insurance system in The reduced the maximum duration of benefits, by half for most groups of the effect, they a strategy and the of employment and after the for those affected with the job finding for those who not avoid bias due to of the from employment to they only consider data for the period of 2 months and 2 months after the The authors further that it is a as the in potential benefit duration to the of the labour market and furthermore, potential benefit duration for different groups of unemployed. In Tatsiramos & the is on a The strategy on a in the maximum duration of unemployment benefits at the of in unemployed who are the with unemployed the gives a measure of the effect of maximum duration of benefits. is the in Lalive on a in the potential benefit duration at and in We will into the of of the studies to determine to whether individuals in groups (i.e. whether individuals may have whether there treatment groups and whether several studies are on the same data included in this review will be for in the of and the of as statistical can when they are When have been we will effect estimates and their & 2011). In where have not applied that control for effects, we will the correlation & and Studies with intervention groups with different individuals will be included in this review. avoid problems with between effect we will apply & However, studies that this around studies included in the data et al., If this number be we will use a effect size (the in order to avoid between effect This provides an of the effect size but the effects applied when effect are better in terms of than do effects 2007). However, of when effect are included are less often than If is not (e.g., the and/or control groups include the same only one intervention group will be and compared to the control group to avoid The of which to include will be on risk of bias We will the that we to have the least risk of bias bias and in of the data will be In some several studies may have used the same of data or some studies may have used only a of a used in We will review all such studies, but in the we will only include one of the effect from each of This will be done to avoid between the (i.e. the estimates of the in the The of which to include will be on risk of bias of the We will the from the that we to have the least risk of bias If two studies are to have the same risk of bias and one of the studies a of a used in or studies, we will include the the full of When the results are measured at time each outcome at each time point will be in a separate with other studies at a time As a these will be according to length of unemployment duration as to less than 6 6 months to more than However, the studies provide for an of relevant and duration for the of we will the the of review two review will first and to exclude studies that are Studies considered by at least one or studies there is in

Pro forma disclosure and investor sophistication: External validation of experimental evidence using archival data

Asymmetric Information and the Distribution of Trading Volume

This paper investigates price discovery between control shares (the superior voting class) and public shares (the inferior voting class) issued by 62 dual-class firms around 148 quarterly earnings announcements from January 2002 to June 2008. We document substantial informed trading in both control and public shares. The average price discovery of control shares is 46.6 % for positive events and 40.5 % for negative events during the event periods. In addition, before the earnings announcements, abnormal trading volume and price discovery increase significantly in control shares relative to public shares. We find price discovery of control shares increases with relative volume of control shares to public shares and relative bid-ask spread but decreases with relative institutional ownership and relative volatility. Our results suggest that publicly traded superior voting class contributes to price discovery substantially, especially before earnings announcements when the information asymmetry is high. The listing of control shares not only enhances price efficiency, but also provides opportunities for outside sophisticated investors to get voting rights and engage in monitoring. Our study sheds new light on the issues of price discovery and corporate governance of dual-class firms.

This paper examines the effect of trust in a micro-economic environment, where trust is clearly exogenous. Using a hand-collected data on European venture capital, we show that the Eurobarometer measure of trust among nations significantly affects investment decisions. This holds even after controlling for investor and company fixed effects, geographic distance, information and transaction costs. The national identity of venture capital firms’ partners is shown to matter for the effect of trust. We also considers the relationship between trust and sophisticated contracts involving contingent control rights. We find trust and sophisticated contracts to be complements, not substitutes.

High frequency traders (HFTs) account for a significant fraction of the total market volume. Prompted by concerns that HFTs reap unfair advantages over other traders by using super-fast trading technologies, some regulatory proposals aim to curb HFTs’ ultra-low-latency activities. However, research suggests that HFTs also play beneficial roles in financial markets, including liquidity provision as voluntary market makers. Currently, little is known about their role in incorporating firm-specific fundamental information into prices. Employing a novel dataset that identifies trades by HFTs and non-HFTs, we find that earnings response coefficients are larger and abnormal price impact of trades are lower when HFTs trade more following earnings announcements, suggesting that HFTs facilitate efficient assimilation of earnings news. HFTs also enhance the forecasting capabilities of financial analysts. Furthermore, HFT participation increases return synchronicity around earnings announcements when multiple firms in the same industry announce earnings on the same day. The evidence suggests that HFTs help incorporate relevant industry information, and this effect arises from HFTs’ liquidity supplying function. We address the endogenous preference of HFTs for large and liquid stocks by including multiple controls for firm size and liquidity, implementing abnormal or change specification for the price impact tests, and performing pre-treatment placebo tests for all of our analyses.

Earnings Announcement Idiosyncratic Volatility and the Cross-Section of Stock Returns

ABSTRACTThis paper theoretically and empirically investigates how the risk of future adverse price changes created by the anticipated arrival of information influences risk‐averse investors’ trading decisions in institutionally imperfect capital markets. Specifically, I examine how the selling activity of individual investors immediately following an earnings announcement is influenced by the tradeoff between risk‐sharing benefits of immediate trade and explicit transaction costs imposed on such trades. Consistent with my theoretically derived predictions, I find that investors’ current trading decisions are less sensitive to the incremental transaction costs created by short‐term capital gains taxes on trading profits, as both the duration and intensity of the risk of future adverse price changes increase. This evidence is consistent with an incremental cost to investors that results from the revelation of precise information, which is commonly referred to as the Hirshleifer Effect.

Trade size clustering and the cost of trading at the London Stock Exchange

Earnings Announcements: Good News for Institutional Investors and Short Sellers