A Pricing and Hedging Comparison of Parametric and Nonparametric Approaches for American Index Options

This article investigates the extent to which options on theAustralian Stock Price Index can be explained by parametricand nonparametric option pricing techniques. In particular,comparisons are made of out-of-sample option pricing performanceand hedging performance. The dataset differs from many of thoseused previously in the empirical options pricing literaturein that it consists of American options. In addition, a broaderspectrum of techniques are considered: a spline-based nonparametrictechnique is considered in addition to the standard kernel techniques,while the performance of a Heston stochastic volatility modelis also considered. Although some evidence is found of superiorperformance by nonparametric techniques for in-sample pricing,the parametric methods exhibit a markedly better ability toexplain future prices and show superior hedging performance.     

利率市场化条件下农村信用社贷款定价方法研究——湖南的现状考察与模式选择

提高贷款定价能力、增强贷款定价的自主性和科学性是利率市场化条件下农村信用社的必然选择.作为金融支持社会主义新农村建设主力军的湖南省农村信用社,应从自身实际情况出发,选择与之相适应的贷款定价模式--市场与成本相机抉择的成本相加定价模式,并进一步完善具有市场化特征的贷款定价机制.     

对基于价值无差异的资产定价模型的实证检验——兼解释股权高溢价之谜

陈小悦和孙力强（2007）在价值无差异的基础上建立了一套全新的定价模型,本文采用股票市场的数据对该模型进行了实证检验,模型检验的同时也是对股权溢价之谜进行解释。研究结果表明,本文的定价模型在美国、中国内地和中国香港三个市场的检验都取得了良好的效果,即市场风险溢价均值都向模型的理论值收敛,实际风险溢价与理论值差异很小且不显著,采用该模型可以准确地描述股票市场组合收益率与风险的关系,并对股权溢价之谜做出合理的解释。     

Unbiased estimation of expected return using CAPM

Estimation of expected return is required for many financial decisions. For example, an estimate for cost of capital is required for capital budgeting and cost of equity estimates are needed for performance evaluation based on measures such as EVA. Estimates for expected return are often based on the Capital Asset Pricing Model (CAPM), which states that expected excess return (expected return minus the risk-free rate) is equal to the asset's sensitivity to the world market portfolio (β) times the risk premium on the “world market portfolio” (the market risk premium). Since the world market portfolio, by definition, contains all assets in the world, it is not observable. As a result, an estimate for expected return is commonly obtained by taking an estimate for β based on some index (as a proxy for the world market portfolio) and an estimate for the market risk premium based on a potentially different index and multiplying them together. In this paper, it is shown that this results in a biased estimate for expected return. This is undesirable since biased estimates lead to misallocation of funds and biased performance measures. It is also shown in this paper that the straightforward procedure suggested by Fama and MacBeth [J. Financ. Econ. 1 (1974) 43] results in an unbiased estimate for expected return. Further from the analysis done, it follows that, for an unbiased estimate, it does not matter what proxy is used, as long as it is used correctly an unbiased estimate for expected return results.     

Modeling time series information into option prices: An empirical evaluation of statistical projection and GARCH option pricing model

This paper compares the empirical performances of statistical projection models with those of the Black–Scholes (adapted to account for skew) and the GARCH option pricing models. Empirical analysis on S&P500 index options shows that the out-of-sample pricing and projected trading performances of the semi-parametric and nonparametric projection models are substantially better than more traditional models. Results further indicate that econometric models based on nonlinear projections of observable inputs perform better than models based on OLS projections, consistent with the notion that the true unobservable option pricing model is inherently a nonlinear function of its inputs. The econometric option models presented in this paper should prove useful and complement mainstream mathematical modeling methods in both research and practice.     

The Bakery: a cross-functional case study for introductory managerial accounting

This instructional case is designed to achieve four educational objectives: (1) to give students a more complete appreciation of the importance of considering accounting information along with marketing and economics-related information, avoiding a myopic focus on accounting data, (2) to give students practice in pricing, cost volume profit analysis (CVP) and outsourcing decisions, (3) to help students learn to build spreadsheets that are capable of what-if analysis, and (4) to provide an active learning experience that engages introductory accounting students. The Bakery is a non-profit organization whose primary function is to sell baked goods and beverages to students in a large campus residence hall complex. In completing the case, students utilize information provided about the costs and previous pricing structure of The Bakery, along with information they collect about competitors' product offerings, prices, and accompanying services, and their own knowledge of The Bakery's customers, college students and their parents, as a basis for making pricing decisions. Once they have completed the pricing analysis, students use the resulting variable costing income statement to perform CVP and to analyze a decision to potentially outsource The Bakery's operations.     

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

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

发展我国预约定价安排制度的思考

作为解决关联企业转让定价问题的一种方法,预约定价出现较晚,人们对其了解也较少。本文在简单阐述预约定价安排制度的基础上,分析了预约定价的优缺点,并结合我国预约定价的实践,提出了进一步完善我国预约定价安排制度的若干建议。     

On pricing kernels and finite-state variable Heath Jarrow Morton models

Once a pricing kernel is established, bond prices and all other interest rate claims can be computed. Alternatively, the pricing kernel can be deduced from observed prices of bonds and selected interest rate claims. Examples of the former approach include the celebrated Cox, Ingersoll, and Ross (1985b) model and the more recent model of Constantinides (1992). Examples of the latter include the Black, Derman, and Toy (1990) model and the Heath, Jarrow, and Morton paradigm (1992) (hereafter HJM). In general, these latter models are not Markov. Fortunately, when suitable restrictions are imposed on the class of volatility structures of forward rates, then finite-state variable HJM models do emerge. This article provides a linkage between the finite-state variable HJM models, which use observables to induce a pricing kernel, and the alternative approach, which proceeds directly to price after a complete specification of a pricing kernel. Given such linkages, we are able to explicitly reveal the relationship between state-variable models, such as Cox, Ingersoll, and Ross, and the finite-state variable HJM models. In particular, our analysis identifies the unique map between the set of investor forecasts about future levels of the drift of the pricing kernel and the manner by which these forecasts are revised, to the shape of the term structure and its volatility. For an economy with square root innovations, the exact mapping is made transparent.     

Profitability analysis in UK organizations: An exploratory study

Recent research into management accounting practices suggests that companies are now placing considerable emphasis on profitability analysis and consider it to be one of the most important management accounting practices. There is however little recent empirical research relating to the content and role of profitability analysis in companies. This paper will address this omission and report the findings derived from a survey of UK companies relating to information that is contained in profitability reporting, generated for managing the existing mix of a firm's activities. In particular, it focuses on the nature, content and role of profitability analysis carrying out some exploratory analysis and testing various propositions to explain the divergence in observed practices.A distinctive feature of the research is that, unlike some previous research, rather than focusing on the information that is accumulated within the costing system it focuses primarily on the information that is extracted from it for different purposes. Not surprisingly we find that different information is extracted for profitability analysis than for pricing purposes. The research findings also indicate that firms use a hierarchy of profit measures within the periodic profitability analysis statements and that profitability analysis is used mainly for attention-directing purposes for signalling the need for more detailed studies. For profitability analysis, the findings suggest that, in terms of what is considered the most important attention-directing measure, the use of some form of full costs based on arbitrary allocations is not as widespread as that suggested by previous studies. Evidence is also presented to suggest that the level of cost system complexity influences the observed practices.