The Effect of Listing Price Strategy on Transaction Selling Prices

While true underlying home values are expected to be randomly distributed, actual residential listing prices tend to be highly clustered. Particularly, more than 75 % of the homes in our sample are associated with a round or “just below” round asking price. This study provides a theoretical and empirical examination of how the thousands digit in a home’s asking price is related to the final transaction price relative to its true underlying value. Our findings suggest that, on average, homes listed using a “just below” pricing strategy are associated with the greatest discount negotiated relative to the asking price. However, the higher initial degree of list overpricing reflected in “just below” pricing compared with other strategies more than offsets the greater discount. Therefore, “just below” is the most effective pricing strategy for the seller in terms of a greater dollar yield relative to value. These empirical findings have economic significance and are robust across both “buyer” and “seller” housing markets, new versus existing homes, and across multiple home price ranges.     

BEHIND THE CORPORATE HEDGE: INFORMATION AND THE LIMITS OF "SHAREHOLDER WEALTH MAXIMIZATION"

The article begins by setting out three alternative conceptions of the corporate objective function. Relying on this framework, it shows that legal analyses tend to neglect conflicts between the interests of the corporate entity and the interests of shareholders over the amount of corporate risk-taking. Financial analyses tend to ignore both constraints on managerial discretion imposed by law and a fundamental ambiguity the author identifies in the “shareholder wealth maximization” assumption that underlies such analyses. This ambiguity arises in part from market “frictions”–particularly, the investor uncertainty and heightened price volatility that stem from informational “asymmetry.” Such an information gap between management and outside investors (along with market “irrationality”) can cause material disparities between the actual trading price and the intrinsic value (or what the author calls the “blissful price”) of a company's shares. As a consequence, corporate hedging that maximizes actual share values may not maximize intrinsic values (and vice versa), thus giving rise to a managerial dilemma. Previous analyses have also failed to give adequate consideration to the expectations of shareholders. If, for example, the shareholders of a natural resource company are seeking a relatively “pure play” on that resource–in part because they believe the company's management has no comparative advantage in managing price risks–corporate hedging that increases shareholder wealth may re-duceshareholder welfare. In this sense, the usual “shareholder wealth maximization” directive is not only ambiguous, but also incomplete. These problems stem not only from informational asymmetry, but from other institutional realities (such as the “political” taint associated with reported derivative losses of any kind) that raise the information costs of using derivatives. The article concludes with some suggestions for improving disclosure of corporate risk management “philosophy.” Better disclosure may not only help reduce such information costs, but could also encourage corporations to find–and stick to–their derivatives niche.     

On the Optimal Hedge of a Nontraded Cash Position

In this paper, we focus on the optimal demand for futures contracts by an investor with a logarithmic utility function who attempts to hedge a nontraded cash position. When the analysis is conducted in the “cash-commodity-price” space, we show that the value function associated with the Bernoulli investor program is not additively separable, thus suggesting that this investor hedges against shifts in the opportunity set as represented by the commodity price. By establishing the equivalence between the cash formulation of the problem and the wealth formulation, we are able to analyze the problem in the “wealth-commodity-price” space. In this space, we show the additive separability of the value function when the futures settlement price process is perfectly locally correlated with the commodity price process. The demand for futures in this instance is composed of (a) a mean-variance term and (b) a minimum-variance component that is a classic feature of models with nontraded assets. Since the first-best (nonmyopic) optimum is attained, however, the deviation from a mean-variance demand should not be interpreted as the expression of a nonmyopic behavior but rather as an attempt to restore a first-best optimum. On the other hand, when the correlation between the futures price and the underlying commodity price is imperfect, in general, the value function does not separate additively, the first-best solution cannot be attained, and the optimal futures trading strategy involves a hedging term against shifts in the opportunity set.     

On Viable Diffusion Price Processes of the Market Portfolio

The assumption that the market portfolio follows a specified diffusion process implies, in a simple equilibrium framework, that the representative individual must have a certain utility function which is identified in the paper. Not every diffusion process is viable, i.e., can be “endogenized” to be the market portfolio's price process in such an equilibrium model. The paper provides necessary and sufficient conditions for viability which imply that viable diffusion processes constitute a rather restricted family.     

The Estimation of Quality-adjusted Rates of Return in Stamp Auctions

The stamp auction market exemplifies markets in which a dominant feature is the quality variation in the traded assets. The observed price changes are a mixture of the “true” price change and the quality variation. This paper applies the time series signal extraction method to obtain estimates of quality-adjusted rates of return and quality-adjusted price indexes for stamp auction price series. The method is applicable to other areas in which there is quality variation or in which values are observed with error. Some features of stamps as an investment are also examined.     

Monetary policy,doubts and asset prices

Asset prices and the equity premium might reflect doubts and pessimism. Introducing these features in an otherwise standard New-Keynesian model changes optimal policy in a substantial way. There are three main results: (i) asset-price movements improve the inflation-output trade-off so that average output can rise without much inflation costs; (ii) a “paternalistic” policymaker – maximizing the expected utility of the consumers under the true probability distribution – chooses a more accommodating policy towards productivity shocks and inflates the equity premium; (iii) a “benevolent” policymaker – maximizing the objective through which decisionmakers act in their ambiguous world – follows a policy of price stability.     

Does divestiture crowd out new investment? The “make or buy” decision in the U.S. electricity generation industry

An empirical model of the “make or buy” decision faced by independent power producers (IPPs)in restructured U.S. wholesale electricity markets is derived to analyze power plant investment decisions by major IPPs from 1996 to 2000. The estimated investment cost and expected profit functions are used to evaluate the effectiveness of divestiture programs (which sold utility power plants to IPPs)in encouraging greater IPP participation. The estimates and counterfactual simulations indicate that a minimal amount of new plant investments were “crowded out” by divestiture and that divestiture encouraged greater (short‐run)entry, especially among utility‐affiliated IPPs.     

Commodity Bonds and Consumption Risks

This paper analyzes the economic role of commodity bonds by examining the nature of the demand for these securities. I show that while commodity bonds protect against relative price changes, they do so by introducing variability into the future real income stream. This variability limits the desirability of using commodity bonds to provide “price insurance” for future consumption. However, this variability may allow commodity bonds to hedge risks to consumption caused by stochastic changes in income. The analysis also suggests that it is this “income insurance” rather than “price insurance” that is important in hedging risks to future consumption.     

Depth improvement and adjusted price improvement on the New York stock exchange

Traditional price improvement improperly assesses large orders’ execution quality by ignoring additional liquidity depth-exceeding orders receive at the quoted price and viewing orders that “walk the book” as “disimproved”. Ignoring this additional liquidity is particularly problematic when assessing execution quality in markets with significant non-displayed liquidity. To correct this deficiency, we modify the price benchmark used to determine whether an order is price improved by making the benchmark a function of the order's size relative to the quoted depth. We document that the differences between conventional price improvement and our measure, adjusted price improvement, can be dramatic and show that the difference depends on trading volume, stock price, and volatility.     

Loan Commitment Contracts,Terms of Lending,and Credit Allocation

This paper analyzes the structure of loan commitment contracts and the interrelationships among their component parameters. Lenders offer borrowers a set of loan “packages,” from which the latter may choose that “package” found to be most appealing. Borrowers may “trade off” changes in any loan parameter in exchange for other adjustments. The borrower, at this time, may “purchase” a larger credit ration for a price. Supporting empirical evidence is presented.     

The Expected Utility of the Doubling Strategy

It has been noted that a certain continuous-time trading strategy, termed the “doubling strategy”, generates a positive net return on borrowed funds, with probability one and within a finite period of time. Since the doubling strategy seems to represent a “free lunch” or arbitrage opportunity, a variety of constraints to render it infeasible have been proposed. In this paper, we show that the doubling strategy generates infinite disutility for a large class of utility functions, and we can think of no utility function for a risk-averse agent which is a counterexample.     

Effective teaching and use of the constant growth dividend discount model

The appropriate application of the constant growth dividend discount model (DDM) requires an understanding of the fundamental nature of the model and its parameters. It is important that students not only be able to mechanically “plug and chug” the formula, but that they also understand the model’s assumptions, inputs, sensitivity to error and practical limitations. This paper demonstrates that the valuation measure derived from using the DDM is very sensitive to the relationship between the required return on investment (K_s) and the assumed growth rate (g) in earnings and dividends. Examples show that the valuation error increases at an increasing rate when the values of K_s and g converge in the formula. Classroom experience has indicated that students believe and strive to compute a single “correct” valuation of the share price. They should realize that the goal of valuation analysis is to estimate a reasonable range for the intrinsic value of a share price, rather than a single point estimate as often implied by end-of-chapter and exam-type problems using the DDM.     

Comparative statics and portfolio choices under the phantom decision model

This study characterizes attitudes toward uncertainty in the phantom decision model introduced by Izhakian and Izhakian (2015) and conducts a comparative statics analysis to examine how changes in phantom uncertainty and phantom aversion affect portfolio choices. First, “phantom averse” and “more phantom-averse” are defined in a manner that differs from Izhakian and Izhakian (2015). Assuming that utility functions have realization forms, the above notions are characterized by the shapes of their reduction components. For the portfolio choice problem that consists of one safe asset and one phantom asset, we derive sufficient conditions under which changes in phantom uncertainty and phantom aversion monotonically decrease the investment in the phantom asset. Some familiar concepts in expected utility theory are extended to the framework of the phantom decision model.     

中国资本产出、资本回报与资本流向之谜--基于劳动力价格扭曲视角北大核心

本文通过建立生产部门的要素买方垄断市场均衡模型,利用1996-2016年中国省级面板数据测算中国劳动力价格扭曲程度,并使用固定效应模型(FE)及面板固定效应的工具变量(IV)估计方法加以分析,从劳动力价格扭曲视角解答了中国资本产出、资本回报与资本流向之谜,即中国经济如何在赶超阶段面临资本深化不断加剧和TFP增长乏力的情况下,依靠劳动力价格扭曲实现低资本产出与高资本回报水平共存,从而维持长期高速资本积累以及优质的资本流向结构。实证研究表明:劳动力价格扭曲降低了资本产出效率,但这并不能掩盖由劳动力向资本方转移的垄断利润对资本回报的直接补贴,因此劳动力价格扭曲对中国维持高资本回报水平起到了重要的支撑作用,并通过高资本回报水平实现了地区资本快速积累,劳动力价格扭曲对资本流向的积极作用还体现在抑制资本"脱实向虚"及吸引外资流入。因此,应正视劳动力价格扭曲在赶超阶段的特殊作用,在矫正扭曲的过程中循序渐进,更积极采取措施规避其对资本回报和资本流向可能产生的不利影响。     

Buy Smart,Time Smart: Are Takeovers Driven by Growth Opportunities or Mispricing?

Excessively high pricing by bidders and targets can be explained by new growth opportunities created by the merger or by irrational overpricing in financial markets. We integrate both explanations through a new decomposition of firm value and investigate whether it is “true” growth value or mispricing that drives takeover waves. We find that “bidders buy smart.” Bidders primarily have high market values because of growth opportunities and overpricing, and select targets that are less overpriced with similar fundamental growth value. Bidders also seem to “time smart.” Takeover activity increases when bidders are more overpriced, in order to cushion against price corrections.     

银行价格竞争、融资约束与企业研发投资——基于“中介效应”模型的实证研究

近年来我国利率市场化改革积极推进,实体经济发展积极向创新驱动转型,一个亟须研究厘清的关键问题是,银行业竞争如何驱动企业创新活动？本文关注银行价格竞争对企业创新的影响,以2013—2018年沪深两市的上市企业为样本,采用“中介效应”因果分析模型,实证检验了银行价格竞争对企业研发投资的影响,并识别出以融资约束为中介渠道的作用机制。研究发现,银行价格竞争不仅会提高银行的风险容忍度,直接增加R&D投资的信贷供给意愿,而且还会通过降低贷款价格和增加贷款可得性来缓解企业整体的融资约束,间接促进企业创新活动。这一机制在解除贷款利率管制之后以及在民营企业层面体现得更加明显。本文的研究结果对于深化金融市场化改革、改善金融服务实体经济效果以及实施经济创新驱动发展战略,具有明确的政策启示。     

Futures Manipulation with “Cash Settlement”

This paper investigates the susceptibility of futures markets to price manipulation in a two-period model with asymmetric information and “cash settlement” futures contracts. Without “physical delivery,” strategies based on “corners” or “squeezes” are infeasible. However, uninformed investors still earn positive expected profits by establishing a futures position and then trading in the spot market to manipulate the spot price used to compute the cash settlement at delivery. We also show that as the number of manipulators grows, profits from manipulation fall to zero. However, even in the limit, manipulation still has a nontrivial impact on market liquidity. More broadly, we interpret manipulation as a form of endogenous “noise trading” which can arise in multiperiod security markets.     

The affect heuristic and stock ownership: A theoretical perspective

We consider asset prices and informational efficiency in a setting where owning stock confers direct utility due to an affect heuristic. Specifically, holding equity in brand name companies or those indulging in “socially desirable” activities (e.g., environmental consciousness) confers positive consumption benefits, whereas investing in “sin stocks” yields the reverse. In contrast to settings based on wealth considerations alone, expected stock prices deviate from expected fundamentals even when assets are in zero net supply. Stocks that yield high direct utility are, on average, more informationally efficient as they stimulate more entry into the market for these stocks and, consequently, more information collection. The analysis also accords with a value effect, high valuations of brand‐name stocks, abnormally positive returns on “sin stocks,” volume premia in the cross‐section of returns, proliferation of mutual funds and ETFs, and yields untested implications. If, as psychological literature suggests, agents derive greater utility from successful companies by “basking in reflected glory,” then asset prices react to public signals non‐linearly, leading to booms and busts, as well as crashes and recoveries.     

Option Pricing Bounds in Discrete Time

Upper and lower bounds are derived for call options traded at discrete intervals. These bounds are independent of assumptions on the stock price distribution other than a restriction satisfied by the stock being “non-negative beta.” The development of the bounds relies on the single-price law and arbitrage arguments. Both single-period and multiperiod results are produced, and put option bounds follow by extension. The bounds exist as equilibrium values given a consensus on stock price distribution; they are also valid for empirical studies, being adjustable for dividends and commissions.