Bidding to lose? Auctions with resale

A losing bidder can still purchase the prize from the winner after the auction. We show why a strong bidder may prefer to drop out of the auction before the price has reached her valuation and acquire the prize in the aftermarket: a strong bidder may be in a better bargaining position in the aftermarket if her rival won at a relatively low price. So it can be common knowledge that, in equilibrium, a weak bidder will win the auction and, even without uncertainty about relative valuations, resale will take place. The possibility of reselling to a strong bidder attracts weak bidders to participate in the auction and raises the seller's revenue.     

Excess demand and price formation during a Walrasian auction

We conduct a detailed analysis of the relationship between excess demand and the convergence of price to equilibrium during a real-world Walrasian auction, paying special attention to the size and speed of the price adjustment. Using data from the Tokyo Grain Exchange (TGE), we first show that because auctions for the various futures contracts occur sequentially, information becomes more evenly dispersed across traders as an auction sequence progresses. Then we show that excess demand is positively correlated with both the eventual price change and the speed with which price adjusts. As information becomes more evenly dispersed, the strength of these relationships weakens. Finally, though excess demand explains a large proportion of the variability of the change in price, it explains only a small proportion of the variability of the speed of adjustment.     

Adverse Selection With Frequency and Severity Risk: Alternative Risk‐Sharing Provisions

The analysis considers an insurance market with adverse selection where individuals' loss distributions may differ with respect to both the frequency and severity of loss. We show that the combination of deductibles and coinsurance can be used to sort rationed policyholders. Because of their screening properties, coinsurance and deductibles may both be equilibrium forms of risk sharing for a particular insurer facing asymmetric information, with different rationed consumers choosing different risk‐sharing provisions.     

Strategic Sequential Bidding for Government Land Auction Sales – Evidence from Singapore

This paper studies the extent to which equilibrium land auction prices are pushed up sequentially due to strategic bidding behaviors in government land auction sales. Using a unique dataset that covers the universe of tendering prices submitted by all developers for all residential land auction sales in Singapore, we find that a tenderer’s bids are significantly higher where there was a previous land parcel sold within two years and located within four kilometers. The identified price margin decreases with time and geographic distance. Tracking sequential bids submitted by the same developer over time, we find that the incumbent winner of a previous auction is more likely to participate in subsequent nearby land sales as compared to the second-highest bidder of the same auction. However, it does not necessarily win the subsequent sites. We argue that the incumbent deliberately bids up the subsequent land prices to gain pricing advantages to their own parcels.     

Adverse Information and Dealer Spreads: Evidence from Dutch Auction Repurchases

The Dutch auction repurchase has become an increasingly popular alternative to open market repurchases and self-tender offers for the distribution of earnings to shareholders. In a Dutch auction, the repurchase price is not determined by a managerial decision, but by shareholders. The extent to which a Dutch auction signals private information is tested by examining stock returns and bid-ask spreads. Stock prices increase and bid-ask spreads widen during the announcement of a Dutch auction; prices decrease and spreads narrow at expiration. Because of the uncertainty surrounding the final repurchase price, Dutch auctions initially increase the risk to which security dealers are exposed. As information asymmetry among managers, investors, and dealers is reduced at expiration, security dealers no longer need to protect themselves from information trades.     

Information sharing,credit booms and financial stability: Do developing economies differ from advanced countries?

This paper analyses the impact of credit information sharing on financial stability, drawing special attention to its interactions with credit booms. A probit estimation of financial vulnerability episodes—identified by jumps in the ratio of non-performing loans to total loans—is run for a sample of 159 countries divided into two sub-samples according to their level of development: 80 advanced or emerging economies and 79 less developed countries. The results show that: i) credit information sharing reduces financial fragility for both groups of countries; ii) for less developed countries, the main effect is the direct effect (reduction of NPL ratio once credit boom is controlled), suggesting a portfolio quality effect; iii) credit information sharing also mitigates the detrimental impact of a credit boom on financial fragility but this result holds only for advanced and emerging countries and for household credit booms; and iv) the depth of information sharing has a negative impact on the likelihood of credit booms (but not the coverage of IS).     

Return and Maturity Relationships for Treasury Auctions: Evidence from Turkey

The relationship between the interest rate and the maturity of newly issued bonds provides information on the debt dynamics of an economy as well as on the sustainability of its debt. Such information is crucial especially for countries that have debt‐rollover concerns due to financial stress and/or macroeconomic instability. This study investigates the relationship between treasury auction maturity, which also dictates the debt maturity, and auction interest rates. When the Turkish treasury auction data from 1988 to 2004 are analysed, a reciprocal linkage between auction interest rates and maturities can be observed, especially for the 1995–2000 period, when there were chronic high inflation, high political uncertainty, high public deficits and unsuccessful attempts at stabilisation. This suggests that under an adverse shock, the Treasury decreases the auction maturity in order not to increase interest rates too much. A change in this reciprocal relationship is also reported for the post‐2001 era, which is characterised by decreasing inflation, higher political stability, lower public deficits and successful stabilisation attempts.     

Heterogeneous preferences and equilibrium trading volume

The representative-agent Lucas model stresses aggregate risk and hence does not allow us to study the impact of agents’ heterogeneity on the dynamics of equilibrium trading volume. In this paper, we investigate under what conditions non-informational heterogeneity, i.e., differences in preferences and endowments, leads to nontrivial trading volume in equilibrium. We present a non-informational no-trade theorem that provides necessary and sufficient conditions for zero equilibrium trading volume in a continuous-time Lucas market model with heterogeneous agents, multiple goods, and multiple securities. We explain in detail how no-trade equilibria are related to autarky equilibria, portfolio autarky equilibria, and peculiar financial market equilibria, which play an important role in the literature on international risk sharing.     

Auctions with selective entry and risk averse bidders: theory and evidence

We study auctions with selective entry and risk averse bidders. Our model accounts for risk averse bidders' endogenous participation decision and thus encompasses the existing entry models. We establish entry and bidding equilibrium in first‐price auction and ascending auction mechanisms and show that bidders' entry behavior differs between these two mechanisms with different forms of risk aversion. Our approach provides testable implications of risk aversion in terms of entry behavior. We analyze a timber auction data set and propose a simple test for the form of bidders' risk aversion based on our model implications.     

On derivatives with illiquid underlying and market manipulation

In illiquid markets, option traders may have an incentive to increase their portfolio value by using their impact on the dynamics of the underlying. We provide a mathematical framework to construct optimal trading strategies under market impact in a multi-player framework by introducing strategic interactions into the model of Almgren [Appl. Math. Finance, 2003, 10(1), 1–18]. Specifically, we consider a financial market model with several strategically interacting players who hold European contingent claims and whose trading decisions have an impact on the price evolution of the underlying. We establish the existence and uniqueness of equilibrium results for risk-neutral and CARA investors and show that the equilibrium dynamics can be characterized in terms of a coupled system of possibly nonlinear PDEs. For the linear cost function used by Almgren, we obtain a (semi) closed-form solution. Analysing this solution, we show how market manipulation can be reduced.     

Endogenous asymmetry in a dynamic procurement auction

We show how to numerically solve for a Markov‐perfect equilibrium of a dynamic auction game where a procurer repeatedly purchases construction services from capacity‐constrained firms. We find that the procurer is best off scheduling frequent auctions for small project sizes. Otherwise, firm capacity utilization rates become larger and more asymmetric, which softens competition and increases procurement costs. We also find that forward‐looking bidding dampens the competition‐softening effects of asymmetry: farsighted firms compete more intensely than myopic ones. This can undermine the goal of a bid‐preference‐style affirmative action program: more farsighted firms respond less to the asymmetry induced via bid preferences.     

Computable Markov‐perfect industry dynamics

We provide a general model of dynamic competition in an oligopolistic industry with investment, entry, and exit. To ensure that there exists a computationally tractable Markov‐perfect equilibrium, we introduce firm heterogeneity in the form of randomly drawn, privately known scrap values and setup costs into the model. Our game of incomplete information always has an equilibrium in cutoff entry/exit strategies. In contrast, the existence of an equilibrium in the Ericson and Pakes' model of industry dynamics requires admissibility of mixed entry/exit strategies, contrary to the assertion in their article, that existing algorithms cannot cope with. In addition, we provide a condition on the model's primitives that ensures that the equilibrium is in pure investment strategies. Building on this basic existence result, we first show that a symmetric equilibrium exists under appropriate assumptions on the model's primitives. Second, we show that, as the distribution of the random scrap values/setup costs becomes degenerate, equilibria in cutoff entry/exit strategies converge to equilibria in mixed entry/exit strategies of the game of complete information.     

Profit sharing (with workers) facilitates collusion (among firms)

We show how profit sharing by firms with workers facilitates collusion among firms in a dynamic oligopoly environment with uncertain demand. We first show that firm profits can always be increased by tying wages to market conditions. The optimal agreement takes the form of an option and features partial sharing because increased sharing raises the expected price‐wage differential, but reduces price‐wage variability. We then show that given any cartel, there exist market conditions such that simply giving some expected profit to workers raises expected firm profits via the transfer's impact on the incentive to cheat on the cartel.     

Auctions and information acquisition: sealed bid or dynamic formats?

The value of an asset is generally not known a priori, and it requires costly investments to be discovered. In such contexts with endogenous information acquisition, which selling procedure generates more revenues? We show that dynamic formats, such as ascending‐price or multistage auctions, perform better than their static counterpart. This is because dynamic formats allow bidders to observe the number of competitors left throughout the selling procedure. Thus, even if competition appears strong ex ante, it may turn out to be weak along the dynamic format, thereby making the option to acquire information valuable. This very possibility also induces the bidders to stay longer in the auction, just to learn about the state of competition. Both effects boost revenues, and our analysis provides a rationale for using dynamic formats rather than sealed‐bid ones.     

Disagreement and Learning: Dynamic Patterns of Trade

The empirical evidence on investor disagreement and trading volume is difficult to reconcile in standard rational expectations models. We develop a dynamic model in which investors disagree about the interpretation of public information. We obtain a closed‐form linear equilibrium that allows us to study which restrictions on the disagreement process yield empirically observed volume and return dynamics. We show that when investors have infrequent but major disagreements, there is positive autocorrelation in volume and positive correlation between volume and volatility. We also derive novel empirical predictions that relate the degree and frequency of disagreement to volume and volatility dynamics.     

The Impact of Capacity Costs on Bidding Strategies in Procurement Auctions

This paper analyzes the impact of capacity costs on bidding strategies of firms participating in procurement auctions. More efficient firms will invest in advance due to their high probability of winning the auction while less efficient bidders prefer to wait with their investments until the outcome of the auction is known. However, in equilibrium both types of firms include a coverage for their investment costs in their bids and therefore adopt a full cost pricing policy. This revised version was published online in November 2006 with corrections to the Cover Date.     

Do Unexpected Land Auction Outcomes Bring New Information to the Real Estate Market?

Land and real estate are intrinsically related but generally traded in two different markets. Vacant land, being a major “raw material” for development of real estate, is traded by developers who actively manage development risk for profit. Real estate, being a long lived final product, is traded by end-users or investors for use or investment in the secondary market. This study examines price discovery between the two markets. The key question is whether land transactions, in the form of public auctions, convey any new information to the secondary real estate market. Our results suggest unexpected land auction outcomes have both market-wide and local effects on real estate prices. However, the impacts are asymmetric. We found that lower than expected land auction prices have a significant negative market-wide and local impact on real estate prices while higher than expect land auction prices have little or no impact.     

Impact of the introduction of call auction on price discovery: Evidence from the Indian stock market using high-frequency data

Call markets are claimed to aggregate information and facilitate price discovery where continuous markets may fail. The impact of the introduction of call auction has not been found uniformly beneficial, possibly due to poor design or due to ‘thick market externalities’. This paper examines the reintroduction of opening call auction at the National Stock Exchange of India in 2010. The results suggest that the auctions attract very little volume, the intraday pattern of volume and volatility in the continuous market remains unchanged and a large fraction of price discovery, measured by the Weighted Price Contribution, still takes place in the first 15 min of continuous market. However, the market synchronicity has improved after the introduction of the auction. Our findings suggest that the ability to attract volume in the call auction for effective price discovery depends on the institutional settings and the characteristics of liquidity supply in the market.     

Biased Auctioneers

We construct a neural network algorithm that generates price predictions for art at auction, relying on both visual and nonvisual object characteristics. We find that higher automated valuations relative to auction house presale estimates are associated with substantially higher price-to-estimate ratios and lower buy-in rates, pointing to estimates' informational inefficiency. The relative contribution of machine learning is higher for artists with less dispersed and lower average prices. Furthermore, we show that auctioneers' prediction errors are persistent both at the artist and at the auction house level, and hence directly predictable themselves using information on past errors.     

Institutional investor information network,analyst forecasting and stock price crash risk

In this paper, we construct the information network of fund investors based on the theory of social relationship networks and examine its impact of fund information sharing with analysts on stock price crash risk. Our results show that private information sharing among institutional investors reduces crash risk. Further results show that fund information sharing can alleviate analyst optimism bias and improve analyst forecast accuracy, which further reduces stock price crash risk. Moreover, these identified effects are more pronounced in a bull market than a bear market. Our study contributes to the research on private information transmission in fund information networks, and provides a new perspective for recognizing the relationships among institutional investor behavior, analyst forecasting, and stock price crash risk.