The social scientific turn in UK financial accounting research: A philosophical and sociological analysis

The demise of the classical programme of financial accounting research is generally represented as a progressive development. This paper argues that the academy's abandonment of classical methods was justified neither by the fruitfulness of post‐classical programmes nor by their incontestable epistemological superiority. Rather, what occurred was a turn to mainstream social science, reflecting sociological characteristics of the UK financial accounting research community. The paper concludes with a call for a revival of the classical programme.     

经典波动模型下的最优债券投资组合

文章认为,由于利率和股价兼有相同的趋势性和波动性属性,股价经典波动模型对利率建模具有研究价值。通过引入经典的波动模型,结合极大似然估计的方法,本文探讨了无风险债券的最优投资方案,并将该成果运用于全球主要国债市场进行实证模拟投资,结果表明,该模型在全球主要国债市场均能取得较好的超额收益。     

无套利定价理论及未来研究方向

本文首先对以无套利假设作为理论基础的经典金融资产定价理论进行了梳理。然后,基于经典理论的预测结果与实际金融市场数据不能很好吻合的事实,以及行为金融学所指出的无套利定价理论的局限性,提出以一价定律作为金融资产定价的理论出发点具有重要的理论和现实意义。     

Arbitrage and deflators in illiquid markets

This paper presents a stochastic model for discrete-time trading in financial markets where trading costs are given by convex cost functions and portfolios are constrained by convex sets. The model does not assume the existence of a cash account/numeraire. In addition to classical frictionless markets and markets with transaction costs or bid–ask spreads, our framework covers markets with nonlinear illiquidity effects for large instantaneous trades. In the presence of nonlinearities, the classical notion of arbitrage turns out to have two equally meaningful generalizations, a marginal and a scalable one. We study their relations to state price deflators by analyzing two auxiliary market models describing the local and global behavior of the cost functions and constraints.     

A Pragmatist Defence of Classical Financial Accounting Research

One reason for the disdain in which classical financial accounting research has come to held by many in the scholarly community is its allegedly insufficiently scientific nature. While many have defended classical research or provided critiques of post‐classical paradigms, the motivation for this paper is different. It offers an epistemologically robust underpinning for the approaches and methods of classical financial accounting research that restores its claim to legitimacy as a rigorous, systematic and empirically grounded means of acquiring knowledge. This underpinning is derived from classical philosophical pragmatism and, principally, from the writings of John Dewey. The objective is to show that classical approaches are capable of yielding serviceable, theoretically based solutions to problems in accounting practice.     

Asymptotic results for the risk process based on marked point processes

Abstract

In this paper asymptotic properties for the risk process will be studied when the number of risk units tends to infinity. The paper extends asymptotic properties for the classical risk process to more general processes. In the classical risk process the claim amounts are assumed independent and identically distributed, and the claim number process is a homogeneous Poisson process.

The key tool is point process theory with associated martingale theory. The results are illustrated by examples.     

No-arbitrage conditions for storable commodities and the modeling of futures term structures

One distinguishable feature of storable commodities is that they relate to two markets: cash market and storage market. This paper proves that, if no arbitrage exists in the storage-cash dual markets, the commodity convenience yield has to be non-negative. However, classical reduced-form models for futures term structures could allow serious arbitrages due to the high volatility of the convenience yield. To avoid negative convenience yield, this paper proposes a semi-affine arbitrage-free model, which prices futures analytically and fits futures term structures reasonably well. Importantly, our model prices commodity-related contingent claims (such as calendar spread options) quite differently with classical models.     

Modelling Accounting Populations for Ratio Estimation in Audit Sampling

The classical ratio estimator is one of the auxiliary information estimators frequently discussed in the audit sampling literature. The major weakness of this estimator is its unreliability when accounting populations have only one-sided errors or when the error rate is low. Efforts have been made to improve the classical estimator by using techniques such as the Jackknifed ratio discussed by Frost and Tamura (1982). This paper proposes a new method to estimate the population total error based on the ratio of error over book value, i.e., taintings.

The special features of the proposed procedure are that (1) it specifically models the special characteristics of the typical accounting populations, and (2) it is the first study we know of in the audit sampling literature that uses simulation to capture the characteristics of the specific distribution of the estimator each time a confidence interval is constructed. This new approach became possible because of the recent publication of several studies on the empirical characteristics of accounting errors. Results of empirical tests indicate that the proposed method can significantly improve the reliability of the classical ratio under circumstances where the classical ratio needs improvements. Empirical comparisons are also made with a third ratio estimator under dollar-unit sampling. Again, the proposed method provides better reliability.     

The “out-of-sample” performance of long run risk models

This paper studies the ability of long-run risk models to explain out-of-sample asset returns during 1931–2009. The long-run risk models perform relatively well on the momentum effect.A cointegrated version of the model outperforms the classical, stationary version. Both the long-run and the short-run consumption shocks in the models are empirically important for the models' performance. The models' average pricing errors are especially small in the decades from the 1950s to the 1990s. When we restrict the risk premiums to identify structural parameters, this results in larger average pricing errors but often smaller error variances. The mean squared errors are not substantially better than those of the classical CAPM, except for Momentum.