Errors and questionable judgments in analysts’ DCF models

We investigate the number of and reasons for errors and questionable judgments that sell-side equity analysts make in constructing and executing discounted cash flow (DCF) equity valuation models. For a sample of 120 DCF models detailed in reports issued by U.S. brokers in 2012 and 2013, we estimate that analysts make a median of three theory-related and/or execution errors and four questionable economic judgments per DCF. Recalculating analysts’ DCFs after correcting for major errors changes analysts’ mean valuations and target prices by between ?2 and 14 % per error. Based on face-to-face interviews with analysts and those who oversee them, we conclude that analysts’ DCF modeling behavior is semi-sophisticated in the sense that analysts genuinely make mistakes regarding certain aspects of correctly valuing equity but also respond rationally to the incentives they face, particularly the reality that they are not directly compensated for being textbook DCF correct.     

MONOPOLISTIC LOCATION CHOICE IN A TWO‐SIDED HOTELLING MODEL

We analyse the optimal location choice of a monopolistic firm that operates two arbitrarily located platforms on a two‐sided market. By extending the traditional Hotelling framework, we show that the optimal platform locations are equivalent to the one‐sided benchmark if both sides are either restricted to single‐ or multi‐homing. In the mixed case (one side single‐homes, the other one multi‐homes), the optimal platform locations are in line with the respective symmetric case. If the monopolist is restricted to choosing the same location on either side of the market, the optimal locations are determined by the relative profitability of the market sides.     

Buchanan and the Austrians: A tale of two bridges

This article explores certain aspects of James Buchanan’s struggles, over a period of years, to come to grips with Austrian subjectivism in economic theory.     

Goodness-of-fit tests for parametric nonhomogeneous Markov processes

Tests for parametric nonhomogeneous and homogeneous Markov processes are given. Asymptotic distribution of test statistics is investigated. Tests for various well-known models are discussed as examples.     

Do global CO2 emissions from fossil-fuel consumption exhibit long memory? a fractional-integration analysis

In this article we use an autoregressive fractionally integrated moving average approach to measure the degree of fractional integration of aggregate world CO₂ emissions and its five components – coal, oil, gas, cement, and gas flaring. We find that all variables are stationary and mean reverting, but exhibit long-term memory. Our results suggest that both coal and oil combustion emissions have the weakest degree of long-range dependence, while emissions from gas and gas flaring have the strongest. With evidence of long memory, we conclude that transitory policy shocks are likely to have long-lasting effects, but not permanent effects. Accordingly, permanent effects on CO₂ emissions require a more permanent policy stance. In this context, if one were to rely only on testing for stationarity and non-stationarity, one would likely conclude in favour of non-stationarity, and therefore that even transitory policy shocks have permanent effects. Our fractional-integration analysis highlights that this is not the case.     

Unit Root Testing under a Local Break in Trend using Partial Information on the Break Date*

We consider unit root testing allowing for a break in trend when partial information is available regarding the location of the break date. This takes the form of knowledge of a relatively narrow window of data within which the break takes place, should it occur at all. For such circumstances, we suggest employing a union of rejections strategy, which combines a unit root test that allows for a trend break somewhere within the window with a unit root test that makes no allowance for a trend break. Asymptotic and finite sample evidence shows that our suggested strategy works well, provided that, when a break does occur, the partial information is correct. An empirical application to UK interest rate data containing the 1973 ‘oil shock’ is also considered.     

Regulatory incentives and financial reporting quality in public healthcare organisations

English National Health Service Foundation Trusts are subject to a regulatory regime in which the level of monitoring and intervention is determined by performance against two key performance metrics: a ‘financial risk rating’, based on a number of performance metrics, such as the reported surplus margin and return on assets, and a ‘prudential borrowing limit’. In this paper, we investigate the variation in financial reporting quality, proxied by discretionary accruals, with the incentives introduced by this regime. We find: first, that discretionary accruals are managed to report small surpluses; second, that, consistent with the avoidance of regulatory intervention in both the short and medium term, discretionary accruals are more positive when pre-managed performance is below intervention triggering thresholds and more negative when well above threshold; third, that, despite a move away from financial breakeven as the primary performance objective, there remains an aversion to small loss reporting. We further find that the level of discretionary accruals is driven by two metrics of strategic significance: the surplus margin (a measure of retained earnings) and the prudential borrowing limit (a measure of borrowing capacity).     

Growth is (really) good for the (really) rich

This paper analyses the relationship between mean income and the income of the rich. Our methodology closely follows that of Dollar and Kraay (Journal of Economic Growth, 2002, 7, 195), but instead of looking at the bottom of the distribution, we focus on the top. We use panel data from the World Top Incomes database, which collects top income data from several countries using tax returns as the raw source. We define the “rich” as earners in the top 10%, 1%, 0.1% and 0.01% of the income distribution. Using data since 1980, we find that economic growth is good for the rich in the sense that the mean income of the top decile of the distribution grows in the same proportion as that of the whole population. However, we also find that the income of earners in the top percentile of the distribution and above grows faster than average income: therefore, economic growth is really good for the really rich. We also find that during economic downturns the average income of top earners responds proportionally less to changes in mean income than during economic expansions. Our results are consistent with the increase in inequality that has been recently observed at the top part of the distribution in many countries, and they are robust to different specifications, country samples and time observations.