tay's as good as cay

The empirical evidence that the consumption–wealth ratio, cay, has strong in-sample predictive power for future stock returns has been interpreted as evidence that consumers take account of future investment opportunities in planning their consumption expenditures. In this paper we show that the predictive power of cay arises mainly from a “look-ahead bias” introduced by estimating the parameters of the cointegrating regression between consumption, assets, and labor income in-sample. When a similar regression is run, replacing the log of consumption with an inanimate variable, calendar time, the resulting residual, which we label tay, is shown to be able to forecast stock returns as well as, or better than, cay. In addition, both cay and tay lose their out-of-sample forecasting power when they are re-estimated every period with only available data.     

Interpreting the predictive power of the consumption–wealth ratio

Lettau and Ludvigson [Lettau, M., Ludvigson, S.C., 2001a. Consumption, aggregate wealth and expected stock returns. Journal of Finance 56, 815–849] find that the estimated consumption–wealth ratio (cay) is a strong predictor of U.S. stock returns, while Brennan and Xia [Brennan, M.J., Xia, Y., 2005. tay's as good as cay. Finance Research Letters 2, 1–14] argue that the predictive power of cay arises from a look-ahead bias. In a unified framework, we examine how the presence of deterministic time trends affects the estimation and forecasting power of cay. We show that ignoring the presence of a deterministic time trend in estimating the cointegrating relationship among consumption, asset wealth, and labor income leads to a biased estimate of the consumption–wealth ratio. In the presence of a deterministic time trend, cay is a combination of the highly persistent bias component and the unbiased cointegrating residual, and most of the predictive power of cay is attributable to the bias component, casting doubt on the robustness of the forecasting power of cay.     

Insider ownership and corporate performance: Evidence from the adjustment cost approach

This paper examines the relation between insider ownership and corporate performance in the presence of adjustment costs and investigates how the adjustment costs are determined. In a model specification without adjustment costs, we find that insider ownership is significantly positively associated with corporate performance. But once we allow for adjustment costs, the relationship no longer exists. We find that insider ownership and corporate performance can be explained by their respective lagged values and that many firm characteristics that were previously useful in explaining these two variables turn out to be statistically insignificant. In addition, there is no evidence that insider ownership and corporate performance affect each other. This is consistent with the adjustment cost argument. It is also consistent with the “endogeneity” argument suggested by Demsetz [Demsetz, H. 1983. The structure of ownership and the theory of the firm. Journal of Law and Economics 26, 375–390.], Demsetz and Lehn [Demsetz, H., Lehn, K., 1985. The structure of corporate ownership: causes and consequences. Journal of Political Economy 93, 1155–1177.], and Demsetz and Villalonga [Demsetz, H., Villalonga, B., 2001. The ownership structure and corporate performance. Journal of Corporate Finance 7, 209–233.]. Finally, we document that the speed of adjustment of insider ownership is positively related to insiders' market timing but negatively to the number of insiders and that the speed of adjustment of Tobin's Q is positively associated with financial leverage and stock price volatility.     

Long memory options: LM evidence and simulations

This paper demonstrates the impact of the observed financial market persistence or long term memory on European option valuation by simple simulation. Many empirical researchers have observed the non-Fickian degrees of persistence in the financial markets different from the Fickian neutral independence (i.i.d.) of the returns innovations assumption of Black–Scholes’ geometric Brownian motion assumption. Moreover, Elliott and van der Hoek [Elliott, R.J., van der Hoek, J., 2003. A general fractional white noise theory and applications to finance. Math. Finance 13, 301–330] provide a theoretical framework for incorporating these findings into the Black–Scholes risk-neutral valuation framework. This paper provides the first graphical demonstration why and how such long term memory phenomena change European option values and provides thereby a basis for informed long term memory arbitrage. By using a simple mono-fractal fractional Brownian motion, it is easy to incorporate the various degrees of persistence into the Black–Scholes pricing formula. Long memory options are of considerable importance in corporate remuneration packages, since stock options are written on a company’s own shares for long expiration periods. It makes a significant difference in the valuation when an option is “blue” or when it is “red.” For a proper valuation of such stock options, the degrees of persistence of the companies’ share markets must be precisely measured and properly incorporated in the warrant valuation, otherwise substantial pricing errors may result.     

Output and expected returns

This paper shows for 1929–2003 U.S. data and also for international G-7 data that the ratio of share prices to GDP tracks a large fraction of the variation over time in expected returns on the aggregate stock market, capturing more of that variation than do price–earnings and price–dividend ratios and often also providing additional information about excess returns. The price–output ratio tracks long-term U.S. cumulative stock returns almost as well as the cay-ratio of Lettau and Ludvigson [2001a. Journal of Finance 56, 815–849, 2005. Journal of Financial Economics 76, 583–626], although the cay-ratio tracks variation in U.S. excess returns better. The price–output ratio, however, involves no parameter estimation and is easily constructed for non-U.S. countries.     

Extreme observations and risk assessment in the equity markets of MENA region: Tail measures and Value-at-Risk

The standard “delta-normal” Value-at-Risk methodology requires that the underlying returns generating distribution for the security in question is normally distributed, with moments which can be estimated using historical data and are time-invariant. However, the stylized fact that returns are fat-tailed is likely to lead to under-prediction of both the size of extreme market movements and the frequency with which they occur. In this paper, we use the extreme value theory to analyze four emerging markets belonging to the MENA region (Egypt, Jordan, Morocco, and Turkey). We focus on the tails of the unconditional distribution of returns in each market and provide estimates of their tail index behavior. In the process, we find that the returns have significantly fatter tails than the normal distribution and therefore introduce the extreme value theory. We then estimate the maximum daily loss by computing the Value-at-Risk (VaR) in each market. Consistent with the results from other developing countries [see Gencay, R. and Selcuk, F., (2004). Extreme value theory and Value-at-Risk: relative performance in emerging markets. International Journal of Forecasting, 20, 287–303; Mendes, B., (2000). Computing robust risk measures in emerging equity markets using extreme value theory. Emerging Markets Quarterly, 4, 25–41; Silva, A. and Mendes, B., (2003). Value-at-Risk and extreme returns in Asian stock markets. International Journal of Business, 8, 17–40], generally, we find that the VaR estimates based on the tail index are higher than those based on a normal distribution for all markets, and therefore a proper risk assessment should not neglect the tail behavior in these markets, since that may lead to an improper evaluation of market risk. Our results should be useful to investors, bankers, and fund managers, whose success depends on the ability to forecast stock price movements in these markets and therefore build their portfolios based on these forecasts.     

Asymmetric mean-reversion and contrarian profits: ANST-GARCH approach

This paper investigates the time-series evidence of asymmetric reverting patterns in stock returns that is attributable to “contrarian profitability.” Using asymmetric nonlinear smooth-transition (ANST) GARCH(M) models, we find that, for monthly excess returns of US market indexes over the period of 1926:01–1997:12, negative returns on average reverted more quickly, with a greater reverting magnitude, to positive returns than positive returns revert to negative returns. The results are quite consistent when the models are implemented not only for the different sample periods, such as 1926:01–1987:09 and 1947:01–1997:12, but also for portfolios with different characteristics, such as different firm-size portfolios and Fama–French risk-adjusted factor portfolios. We interpret the asymmetrical reversion as evidence of stock market overreaction.     

Forecasting asymmetries in aggregate stock market returns: Evidence from conditional skewness

This paper provides a time-series test for the Differences-of-Opinion theory proposed by Hong and Stein (2003) [Hong, H., Stein, J.C., 2003. Differences of opinion, short-sales constraints and market crashes. Review of Financial Studies 16, 487–525.] in the aggregate market, thus extending the cross-sectional test of Chen et al. (2001) [Chen, J., Hong, H., Stein, J.C.. 2001. Forecasting crashes: trading volume, past returns and conditional skewness in stock prices. Journal of Financial Economics 61, 345–381.] for this theory across individual stocks. An autoregressive conditional density model with a skewed-t distribution is used to estimate the effects of past trading volume on return asymmetry. Using NYSE and AMEX data from 1962 to 2000, we find that the prediction of the Hong–Stein model that negative skewness will be most pronounced under high trading volume conditions is not supported in our time-series analysis with market data.     

Asset pricing models with errors-in-variables

This paper revisits Fama and French [Fama, Eugene F., French, Kenneth R., (1993) Common risk factors in the returns on stock and bonds. Journal of Financial Economics 33 (1), 3–56] and Carhart [Carhart, Mark M., 1997. On persistence in mutual fund performance. Journal of Finance 52 (1), 57–82] multifactor model taking into account the possibility of errors-in-variables. In their well known paper, Fama and French [Fama, Eugene F., French, Kenneth R., 1997. Industry costs of equity. Journal of Financial Economic 43 (2), 153–193] concluded that estimates of the cost of equity for the three-factor model of FF (1993) were imprecise. We argue that this imprecision is even more severe because of the pervasive effects of measurement errors. We propose Dagenais and Dagenais [Dagenais, Marcel G., Dagenais, Denyse L., 1997. Higher moment estimators for linear regression models with errors in the variables. Journal of Econometrics 76 (1–2), 193–221] higher moments estimator as a solution. Our results show that estimates of the cost of equity obtained with Dagenais and Dagenais estimator differ sharply from popular OLS estimates and shed a new light on performance attribution and abnormal performance (α). Adapting the Generalized Treynor Ratio, recently developed by Hübner [Hübner, Georges, 2005. The generalized treynor ratio. Review of Finance 9 (3), 415–435], we show that the performance of managed portfolios with multi-index models should be revisited in presence of errors-in-variables.     

Idiosyncratic risk and the cross-section of stock returns: Merton (1987) meets Miller (1977)

Merton [1987. A simple model of capital market equilibrium with incomplete information. Journal of Finance 42, 483–510] predicts that idiosyncratic risk should be priced when investors hold sub-optimally diversified portfolios, and cross-sectional stock returns should be positively related to their idiosyncratic risk. However, the literature generally finds a negative relationship between returns and idiosyncratic risk, which is more consistent with Miller's [1977. Risk, uncertainty, and divergence of opinion. Journal of Finance 32, 1151–1168] analysis of asset pricing under short-sale constraints. We examine the cross-sectional effects of idiosyncratic risk while explicitly recognizing the confounding effects that dispersion of beliefs and short-sale constraints produce in the Merton framework. We find strong support for Merton's [1987. A simple model of capital market equilibrium with incomplete information. Journal of Finance 42, 483–510] model among stocks that have low levels of investor recognition and for which short selling is limited. For these stocks, the relation between idiosyncratic risk and expected returns is positive, as predicted by Merton [1987. A simple model of capital market equilibrium with incomplete information. Journal of Finance 42, 483–510].     

A long memory property of stock market returns and a new model

A ‘long memory’ property of stock market returns is investigated in this paper. It is found that not only there is substantially more correlation between absolute returns than returns themselves, but the power transformation of the absolute return ¦r_t¦^d also has quite high autocorrelation for long lags. It is possible to characterize ¦r_t¦^d to be ‘long memory’ and this property is strongest when d is around 1. This result appears to argue against ARCH type specifications based upon squared returns. But our Monte-Carlo study shows that both ARCH type models based on squared returns and those based on absolute return can produce this property. A new general class of models is proposed which allows the power δ of the heteroskedasticity equation to be estimated from the data.     

An “American Dream” theory of corporate executive Fraud

In this paper, we first describe a “Broken Trust” theory that was introduced by Albrecht el al. [Albrecht, W. S., Albrecht, C. C., & Albrecht, C. O. (2004). Fraud and corporate executives: Agency, Stewardship and Broken Trust. Journal of Forensic Accounting, 5, 109–130] to explain corporate executive Fraud. The Broken Trust theory is primarily based on an “Agency” theory from economic literature and a “Stewardship” theory from psychology literature. We next describe an “American Dream” theory from sociology literature to complement Albrecht el al.'s (2004) Broken Trust theory. Like the Broken Trust theory, the American Dream theory relates to a “Fraud Triangle” concept to explain corporate executive Fraud. Finally, we provide some anecdotal evidence from recent high profile corporate executive Fraud to explore the American Dream theory. We conclude our thoughts on corporate executive Fraud from a teaching perspective.     

What UIP tests on extreme samples reveal about the missing variable

In their UIP regressions, Huisman et al. (1998. Extreme support for uncovered interest parity, Journal for International Money and Finance 17, 211–228.) focus on extreme forward premia and find much higher coefficients. We show that, for such results, the expectation signal needs to be thicker-tailed than the missing variable. Transaction costs may produce the right sort of bias. It is (i) bounded (i.e. it has no tails at all), (ii) wide (i.e. it may generate betas below 1/2) and (iii) U-distributed, which makes an “extreme” sample quite effective. We derive theoretical and numerical results in the direction of what Huisman et al. observe. We also tighten Fama's moment conditions.     

Information Uncertainty and Expected Returns

This study examines the role of information uncertainty (IU) in predicting cross-sectional stock returns. We define IU in terms of “value ambiguity,” or the precision with which firm value can be estimated by knowledgeable investors at reasonable cost. Using several different proxies for IU, we show that (1) on average, high-IU firms earn lower future returns (the “mean” effect), and (2) price and earnings momentum effects are much stronger among high-IU firms (the “interaction” effect). These findings are consistent with analytical models in which high IU exacerbates investor overconfidence and limits rational arbitrage.This revised version was published online in August 2005 with a corrected cover date.     

On Accounting-Based Valuation Formulae*

This paper considers accounting-based valuation formulae. Its initial focus is on two problems related to residual income valuation (RIV). First, insofar valuation depends on theresent value of expected dividends per share, applying RIV requires clean surplus accounting on a per share basis. Awkwardly, equity transactions that change the number of shares outstanding generally imply eps ≠ Δ bvps − dps. A clean surplus equality holds only if one “re-conceptualizes” either end-of-period bvps or eps as a forced “plug”. Second, one cannot circumvent the per share issue by evaluating RIV on a total dollar value basis unless one introduces relatively subtle MM-type restrictions. In light of RIV’s unsatisfactory aspects, the paper proposes an alternative to RIV. This new approach maintains a strict eps-focus. It derives by replacing bvps _t in RIV with eps _{t +1} capitalized (i.e. divided by r). One obtains a formula such that the current market price equals next-period expected earnings capitalized plus the present value of expected abnormal earnings growth, referred to as AEG. A number of propositions then demonstrate the advantages of the AEG approach as compared to RIV. These results follow because eps _t+1 capitalized generally approximates market price better than bvps _t .*An earlier version of this paper was titled “Residual Income Valuation The Problems”.This revised version was published online in August 2005 with a corrected cover date.     

Conditional and Unconditional Conservatism:Concepts and Modeling

We develop a model that captures the distinct natures of and interactions between conditional and unconditional conservatism. Under unconditional conservatism, the book value of net assets is understated due to predetermined aspects of the accounting process. Under conditional conservatism, book value is written down under sufficiently adverse circumstances, but not up under favorable circumstances. The specification of earnings provided by the model yields hypotheses about how unconditional conservatism and other factors preempt conditional conservatism and so affect the asymmetric response of earnings to positive and negative share returns, both current and lagged, documented by Basu (1995, “Conservatism and the Asymmetric Timeliness of Earnings.” Ph.D. dissertation, University of Rochester’ 1997, “The Conservatism Principle and the Asymmetric Timeliness of Earnings.” Journal of Accounting and Economics 24, 3–37).This revised version was published online in August 2005 with a corrected cover date.     

Professional accounting development in Nigeria: threats from the inside and outside

Over the years several, sometimes conflicting, theories attempting to explain the development of professions have emerged. The “functionalist” and “interactionist” theories have since lost the spotlight to a more critical approach based on the Weberian concept of closure. Limitations in the concept and practice of this neo-Weberain concept have led to suggestions that research into the sociology of professions, should also include historical analyses of professionalism that capture historical specificities with the aim of generating theory that sees beyond “just massive historical variation” [Collins, R. (1990). Changing conceptions in the sociology of the profession. In R. Torstendahl, & M. Burrage, The formation of professions: Knowledge, state and strategy. London: Sage Publications]. Such research should also investigate the structural conditions under which the professionalisation process takes place [Johnson, T. (1977). The profession in the class structure. In R. Scase, Industrial society: Class, cleavage and control. London: George Allen and Unwin.]. In order to achieve this, there is the need to critically study the relationship of the State and the profession [Klegon, D. (1978). The sociology of professions: an emerging perspective. Sociology of Work and Occupations, 5, 3, 259–283.] and to document more extensively, the process, rather than the product, of closure [Chua, W. F., & Paullaos, C. (1993). Rethinking the profession-state dynamic: the case of the Victorian Charter Attempt, 1885–1906, Accounting, Organizations and Society, pp. 128–691; Chua, W. F., & Paullaos, C. (1998). The dynamics of “closure” amidst the construction of market, profession, empire and nationhood: an historical analysis of an Australian Accounting Association. Accounting, Organizations and Society, 23 (2), 155–187; Ramirez, C. (2001). Understanding social closure in its cultural context: accounting practitioners in France (1920–1939), Accounting, Organizations and Society.]. Such is the approach of this article, which focuses on the development of the accounting professions in Nigeria. It critically examines the profession/ State dynamics that have helped shape the outcome of the various episodes in the history of the accounting profession in Nigeria. An important influence in this dynamics is the nature of government in place (i.e. military or civilian).     

Explanatory factors of the inflation news impact on stock returns by sector: The Spanish case

We study the short run response of daily stock prices on the Spanish market to the announcements of inflation news at an industrial level, deepening the potential explanatory factors of this response (risk-free interest rate, risk premium and growth expectations). We observe a positive and significant response of the stock returns in case of “bad news” (total inflation rate higher than expected one) in recession, and also in case of negative inflation surprises (“good news”) in non-economic recession. This behaviour is consistent with the evolution of the company dividend growth expectations, since we observe that the relationship between this theoretical component of the stock price and the unexpected inflation, to a large extent, seems to explain the observed behaviour.     

Accounting for decisions and decisions for accounting

Behavioral decision theory (BDT) is concerned with “accounting for decisions”. The development of this interdisciplinary field is traced from the appearance of several key publications in the 1950s to the present. Whereas the 1960s saw increasing theoretical and empirical work, the field really started to flourish in the 1970s with the appearance of the review by Slovic & Lichtenstein (Organizational Behavior and Human Performance, pp. 549–744, 1971), and key papers on probabilistic judgment (Tversky & Kahneman, Science, pp. 1124–1131, 1974), and choice (Kahneman & Tversky, Econometrica, pp. 263–291, 1979). From the early 1980s to the present, BDT has seen considerable consolidation and expansion and its influence now permeates many fields of enquiry. After this brief history, eight major ideas or findings are discussed. These are: (1) that judgment can be modeled; (2) bounded rationality; (3) to understand decision making, understanding the task is more important than understanding the people; (4) levels of aspiration/reference points; (5) use of heuristic rules; (6) the importance of adding; (7) search for confirmation; and (8) thought as construction. Next, comments are addressed to differences between BDT and problem solving/cognitive science. It is argued that whereas many substantive differences are artificial, two distinct communities of researchers do exist. This is followed by a discussion of some major shortcomings currently facing BDT that include questions about the robustness of findings as well as overconcern with a few specific, “paradoxial” results. On the other hand, there are many interesting issues that BDT could address and several specific suggestions are made. Moreover, these issues represent opportunities for accounting research and several are enumerated. Finally, BDT presents “decisions for accounting” in the sense that scarce resources need to be allocated to different types of research that could illuminate accounting issues. The argument is made that BDT is one research metaphor or paradigm that has proved useful in accounting and that should be supported. Such support, however, may mean that some researchers may work on issues that, at first blush, might seem distant from accounting per se.     

Consumption, (dis)aggregate wealth,and asset returns

In this work, I show, from the consumer's budget constraint, that the residuals of the trend relationship among consumption, financial wealth, housing wealth and labor income (summarized by the variable cday) should predict better U.S. and U.K. quarterly stock market returns than a variable like cay from Lettau and Ludvigson (2001), which considers aggregate wealth instead.I find that the superior forecasting power of cday is due to: (i) its ability to track the changes in the composition of asset wealth; and (ii) the faster rate of convergence of the coefficients to the “long-run equilibrium” parameters.In addition, the results suggest that, while financial wealth shocks are mainly transitory, fluctuations in housing wealth are very persistent. Moreover, they highlight that expectations about future returns are “synchronized” across countries.