The price of rapid exit in venture capital-backed IPOs

This paper proposes an explanation for two empirical puzzles surrounding initial public offerings (IPOs). Firstly, it is well documented that IPO underpricing increases during “hot issue” periods. Secondly, venture capital (VC) backed IPOs are less underpriced than non-venture capital backed IPOs during normal periods of activity, but the reverse is true during hot issue periods: VC backed IPOs are more underpriced than non-VC backed ones. This paper shows that when IPOs are driven by the initial investor’s desire to exit from an existing investment in order to finance a new venture, both the value of the new venture and the value of the existing firm to be sold in the IPO drive the investor’s choice of price and fraction of shares sold in the IPO. When this is the case, the availability of attractive new ventures increases equilibrium underpricing, which is what we observe during hot issue periods. Moreover, I show that underpricing is affected by the severity of the moral hazard problem between an investor and the firm’s manager. In the presence of a moral hazard problem the degree of equilibrium underpricing is more sensitive to changes in the value of the new venture. This can explain why venture capitalists, who often finance firms with more severe moral hazard problems, underprice IPOs less in normal periods, but underprice more strongly during hot issue periods. Further empirical implications relating the fraction of shares sold and the degree of underpricing are presented.      

The pricing of U.S. IPOs by seasoned foreign firms

We examine the pricing of U.S. initial public offerings (IPOs) by foreign firms that are already seasoned in their domestic countries. Presumably, these equity offers have less downside risk for investors than typical IPOs since domestic share prices can be used to help establish a preoffer value for the firm's equity. In spite of the presumed diminished downside risk, we find that offers by firms from countries that impose foreign ownership restrictions and capital controls are on average underpriced, experiencing an average first-day return in the United States of 12.7%. This result stems in part from the underwriter's failure to price the issue to fully reflect the postoffer premium that often arises for the U.S. shares. In contrast, offers by firms from countries without ownership restrictions have an average first-day return of 0.0%.     

Asset pricing theory for two price economies

We show that nonlinearly discounted nonlinear martingales are related to no arbitrage in two price economies as linearly discounted martingales were related to no arbitrage in economies satisfying the law of one price. Furthermore, assuming risk acceptability requires a positive physical expectation, we demonstrate that expected rates of return on ask prices should be dominated by expected rates of return on bid prices. A preliminary investigation conducted here, supports this hypothesis. In general we observe that asset pricing theory in two price economies leads to asset pricing inequalities. A model incorporating both nonlinear discounting and nonlinear martingales is developed for the valuation of contingent claims in two price economies. Examples illustrate the interactions present between the severity of measure changes and their associated discount rates. As a consequence arbitrage free two price economies can involve unique discount curves and measure changes that are however specific to both the product being priced and the trade direction. Furthermore the developed valuation operators call into question the current practice of Debt Valuation Adjustments.     

Partial adjustment to public information in the pricing of IPOs

Extant literature shows that IPO first-day returns are correlated with market returns preceding the issue. We propose a rational explanation for this puzzling predictability by adding a public signal to Benveniste and Spindt (1989)’s information-based framework. A novel result of our model is that the compensation required by investors to truthfully reveal their information decreases with the public signal. This “incentive effect” receives strong empirical support in a sample of 6300 IPOs in 1983–2012. Controlling for the incentive effect, the positive relation between initial returns and pre-issue market returns disappears for top-tier underwriters, where the order book is held to be most informative, effectively resolving the predictability puzzle.     

The relative pricing of European dividend futures and their predictive abilities for index returns

We use dividend futures prices to derive a dividend future discount model. Arbitrage arguments postulate that the sum of discounted dividend futures prices should equal the index price, i.e. the sum of discounted dividends. We analyze whether this relation holds and find that the two valuation approaches lead to a different valuation of expected dividends. These observations indicate that dividend futures and index prices seem to provide the investor with different information on future dividends. We further show that the difference in valuation can be used to forecast index returns and show how an investment strategy can exploit this predictability.     

Asymmetric mean reversion of Bitcoin price returns

Non-linearity is characterised by an asymmetric mean-reverting property, which has been found to be inherent in the short-term return dynamics of stocks. In this paper, we explore as to whether cryptocurrency returns, as represented by Bitcoin, exhibit similar asymmetric reverting patterns for minutely, hourly, daily and weekly returns between June 2010 and February 2018. We identify several differences in the behaviour of Bitcoin price returns in the pre- and post-$1000 sub-periods and evidence of asymmetric reverting patterns in the Bitcoin price returns under all the ANAR models employed, regardless of the data frequency considered. We also present evidence indicating stronger reverting behaviour of negative price returns in terms of both reverting speed and magnitude compared to positive returns and evidence of positive serial correlation with prior positive price returns. Finally, we also investigated asymmetries in Bitcoin price return series' persistence by employing higher order ANAR models, finding evidence of a higher persistence of positive returns than negative returns, a result that further supports the existence of asymmetric reverting behaviour in the Bitcoin price returns.     

Asset pricing models: implications for expected returns and portfolio selection

When a risk factor is missing from an asset pricing model, theresulting mispricing is embedded within the residual covariancematrix. Exploiting this phenomenon leads to expected returnestimates that are more stable and precise than estimates deliveredby standard methods. Portfolio selection can also be improved.At an extreme, optimal portfolio weights are proportional toexpected returns when no factors are observable. We find thatsuch portfolios perform well in simulations and in out-of-samplecomparisons.     

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.     

Specification tests of asset pricing models using excess returns

In this paper, we discuss the impact of different formulations of asset pricing models on the outcome of specification tests that are performed using excess returns. We point out that the popular way of specifying the stochastic discount factor (SDF) as a linear function of the factors is problematic because (1) the specification test statistic is not invariant to an affine transformation of the factors, and (2) the SDFs of competing models can have very different means. In contrast, an alternative specification that defines the SDF as a linear function of the de-meaned factors is free from these two problems and is more appropriate for model comparison. In addition, we suggest that a modification of the traditional Hansen–Jagannathan distance (HJ-distance) is needed when we use the de-meaned factors. The modified HJ-distance uses the inverse of the covariance matrix (instead of the second moment matrix) of excess returns as the weighting matrix to aggregate pricing errors. Asymptotic distributions of the modified HJ-distance and of the traditional HJ-distance based on the de-meaned SDF under correctly specified and misspecified models are provided. Finally, we propose a simple methodology for computing the standard errors of the estimated SDF parameters that are robust to model misspecification. We show that failure to take model misspecification into account is likely to understate the standard errors of the estimates of the SDF parameters and lead us to erroneously conclude that certain factors are priced.     

The price discovery of day trading activities in futures market

Access to information is necessary for market transparency. However, contrary to trading volume and open interest, information related to day trading activities is rarely available. By incorporating unexplored day trading volume in the literature, this paper demonstrates that both the expected open interest and expected day trading volume are consistently and positively correlated with returns, but that one-lagged day trading volume is negatively correlated with futures returns. Meanwhile, both expected and unexpected day trading volume are negatively correlated with volatility, suggesting that arbitrage activities related to unexpected day trading volume may accelerate the movement of futures prices to a new equilibrium. Moreover, open interest provides liquidity but increases volatility. Finally, we strongly suggest that day trading transaction information be released by futures exchanges to achieve greater transparency.     

The impacts of regulation regime changes on ChiNext IPOs: Effects of 2013 and 2020 reforms on initial return,fair value and overreaction

The Chinese version of NASDAQ, ChiNext has gone through three time periods with two different regulation regimes (approval versus registration) and three sets of listing day trading restrictions (trading curbs, hard return caps, and no restrictions). We hypothesize that the initial return of an IPO contains the issuer's fair value proxied by the IPO's monthly return and the investors' overreaction proxied by its intramonth return. We separate the full sample into three non-overlapping periods based on different regulatory rules, apply the Stepwise technique to identify significant variables for the return measures, and use multivariate linear regressions to estimate the signs and magnitudes of the significant variables. We observe stark contrasts among the determinants of return measures under different regulation regimes. We find that IPO pricing is mainly demand-driven under the approval regime, but switches to value-driven under the registration regime. Our findings reveal a clear pattern of evolution in investors' behavior in response to the progression of regulations along three dimensions: 1) governing regulation regimes, 2) listing day trading restrictions, and 3) issuer profile. Our findings provide insights to the continued efforts in moving the Chinese IPO market towards a more market-oriented and transparent environment with higher pricing efficiency.     

The sensitivity of Australian industry equity returns to a gold price factor

This paper investigates the extra-market sensitivity of Australian industry equity returns to a gold price factor over the period 1975 to 1994. We find, over the full sample period, that there has been a widespread sensitivity of Australian industry returns to gold price returns, over and above market returns. The sensitivity is found to be of positive sign for resource and mining sector industries, whereas it is of negative sign for the industrials sector. Further, there appears to be a change in importance of the gold price factor over time, as reflected by a comparison of subperiod gold price sensitivity estimates     

The risk management implications of using end of day consensus pricing for single name CDS

Review of Quantitative Finance and Accounting - When markets are opaque, market participants rely to a large extent on end-of-day consensus prices published by service providers; such as in the...     

Equilibrium asset pricing and the cross section of expected returns

Annals of Finance - In a mean-variance framework with a representative agent, any linear model for the cross section of expected returns can be supported as an equilibrium as long as the market...     

Predicting firm level stock returns: Implications for asset pricing and economic links

We examine the predictive ability of stock price ratios, stock return dispersion and distribution measures for firm level returns. Analysis typically focusses on market level returns, however, for the underlying asset pricing model to hold, firm-level predictability should be present. Additionally, we examine the economic content of predictability by considering whether the predictive coefficient has the theoretically correct sign and whether it is related to future output growth. While stock returns reflect investor expectations regarding future economic conditions, they are often too noisy to act as predictor. We use the time-varying predictive coefficient as it reflects investor confidence in the predictive relation. Results suggest that a subset of stock price ratios have predictive power for individual firm stock returns, exhibit the correct coefficient sign and has predictive power for output growth. Each of these ratios has a measure of fundamentals divided by the stock price and has a positive relation with stock returns and output growth. This implies that as investors expect future economic conditions to improve and earnings and dividends to rise, so expected stock returns will increase. This supports the cash flow channel as the avenue through which stock return predictability arises.     

On post-IPO stock price performance: A comparative analysis of RLBOs and IPOs

This is the first study to examine the post-IPO stock price performance by differentiating between IPOs and three types of RLBOs (i.e. public-to-private (or re-IPOs), division-to-private, and private-to-private deals). We document that public-to-private RLBOs outperform their industry rivals, IPOs, mature firms in comparable industries, and a propensity-score matched control group for up to five years post-offering. Further, we document that, within RLBOs, public-to-private RLBOs, outperform private-to-private and division-to-private RLBOs. We also find support for the underwriter signaling effect for public-to-private RLBOs. Our analysis identifies for the first time what private period restructuring activities contribute to superior post-re-IPO stock price performance. Further, the beneficial effects of private period restructurings are enhanced for deals associated with prestigious underwriters. Our findings suggest that first IPOs and re-IPOs differ substantially in term of post-offer performance, the impact of prestigious underwriters on performance, and performance over time.     

Option augmented density forecasts of market returns with monotone pricing kernel

Basic financial theory indicates that the ratio of the conditional density of the future value of a market index and the corresponding risk neutral density should be monotone, but a sizeable empirical literature finds otherwise. We therefore consider an option augmented density forecast of the market return obtained by transforming a baseline density forecast estimated from past excess returns so as to monotonize its ratio with a risk neutral density estimated from current option prices. To evaluate our procedure, we compare baseline and option augmented monthly density forecasts for the S&P 500 index over the period 1997–2013. We find that monotonizing the pricing kernel leads to a modest improvement in the calibration of density forecasts. Supplementary results supportive of this finding are given for market indices in France, Germany, Hong Kong, Japan and the UK.     

The ex-dividend day stock price behavior in the Chinese stock market

This paper analyzes the ex-dividend day stock price behavior in the Chinese stock market. This market allows to examine the impact of tax effects while keeping any microstructure factors constant. The findings from non-taxable stocks show that their price, on the ex-dividend day, falls by an amount that is not statistically different from the dividend. For the taxable sample, stock prices of small dividend yield stocks fall proportionally to the dividend paid. For the large dividend yield stocks, the price adjustment depends on the effective tax rate on dividend income. The overall findings are consistent with the tax hypothesis.     

The Pricing of IPOs Post-Sarbanes-Oxley

The Sarbanes-Oxley Act (SOX) imposes new requirements for firms going public. Many provisions of SOX should improve the transparency of U.S. firms going public and therefore reduce the uncertainty surrounding their valuation. We find that initial returns of initial public offerings (IPOs) in the United States have declined since SOX. Furthermore, the aftermarket performance of IPOs since SOX is significantly higher. While the expense of public reporting has increased in the United States because of SOX, the valuations of newly public firms at the time of the IPO are subject to less uncertainty and smaller aftermarket corrections.     

The Underpricing of Insurance IPOs

The previous literature documents that insurance initial public offerings (IPOs) are less underpriced than those of noninsurance firms. This difference is usually attributed to lower information asymmetry for regulated firms. However, we find that once one controls for the file price adjustment insurance IPOs, both stock and mutual, are no less underpriced than other noninsurance offerings suggesting the book-building process resolves any such information asymmetries. We also find that mutual IPOs appear more underpriced than stock insurance IPOs, but this difference is related to the differences in pre-issue managerial ownership.