Dynamic of foreign direct investment in the states of Mexico: An analysis of Markov's spatial chains

The aim of this investigation is to analyze the evolution of the spatio-temporal distribution of foreign direct investment (FDI) across Mexican states. The literature that analyzes foreign direct investment in Mexico is numerous and diverse; however, it is argued that the analysis of the spatio-temporal distribution of FDI conditioned to spatial interaction effects in Mexico is still absent. In this sense, by applying the spatial Markov chain approach as proposed by Rey (2001), we found a divergence process in the FDI inflows among Mexican states that seem to get stronger over time. In particular, during the period from 2006 to 2013, the process of divergence toward higher-FDI inflows quantiles occurs among states spatially associated with neighbors in lower-FDI quantiles.     

An Empirical Comparison of Asset-Pricing Models in the Shanghai A-Share Exchange Market

This paper evaluates and compares the performance of three-asset pricing models—the capital asset pricing model of Sharpe (J Finance 19:425–442, 1964), the three-factor model of Fama and French (J Financ Econ 33:3–56, 1993), and the five-factor model (Fama and French in J Financ Econ 123:1–22, 2015)—in the Shanghai A-share exchange market. Our results do not support the superiority of the five-factor model and show that the three-factor model outperforms the other models. We also verify the redundancy of the book-to-market factor and confirm the findings of Fama and French (2015).     

Monetary anticipations and the demand for money: Reply to MacKinnon and Milbourne

MacKinnon and Milbourne (1984), in an extended comment on Carr and Darby (1981), claim that money supply shocks do not enter the money demand function for the United States. This reply discusses the economic and econometric errors which led to this conclusion and presents further empirical evidence in support of our approach.     

Theoretical considerations on the proposed of recovery of purchasing power of the minimum wage in Mexico

Regarding the recent proposal made by the Mexico City Government about the recovery of the purchasing power of the minimum wage, some reflections on the theories of production and distribution are proposed. We first review the seminal paper written by Cobb and Douglas (1928). Some obstacles in measuring the marginal factor products, and a pair of inconsistencies between the theories of production and distribution on the one hand, and some exercises of quantifying “productivities” on the other hand, are presented. Finally, a model of imperfect competition, which displays the dispute over income between economic agents, is included. One conclusion is that income distribution does not follow a simple rule, but a bargaining process based on market power in a historical context that provides inertia and in which institutions play a key role.     

Agriculture in Europe 2000: An interim report on a cross-national research project

The futures research programme initiated by the European Cultural Foundation, Amsterdam, in 1968, under the general title of Plan Europe 2000, consists of four projects : Education, Industrialisation, Urbanisation and Agriculture.¹ Work on the last Agriculture Project commenced in September 1970. The prime aim of the project is to provide alternative “guiding images” of the roles and functions which agriculture could fulfil in Western Europe in the future.²     

The dispersion anomaly and analyst recommendations

The main objective of this study is to distinguish whether the forecast dispersion anomaly is due to Miller’s (J Finance 32(4):1151–1168, 1977) overpricing hypothesis or idiosyncratic risk, by conditioning the sample on “buy” and “sell” consensus recommendations. Observations on the long and short possibilities provided to the investors by the analyst stock recommendations can help us infer on the impact of short sale constraints even though they are not directly observed. This study provides strong evidence that the impact of analyst forecast dispersion is more pronounced in the group of stocks that receive the least favorable recommendations in a given period, even after controlling for the idiosyncratic risk, Fama–French factors (J Financ Econ 33(1):3–56, 1993; J Financ Econ 116(1):1–22, 2015) and even short-sale constraints. These results are consistent with Miller’s (1977) hypothesis, according to which if short-sale constraints bind, high opinion divergence stocks become overpriced and hence have low subsequent returns.     

Do financial returns have finite or infinite variance? A paradox and an explanation

One of the major points of contention in studying and modelling financial returns is whether or not the variance of the returns is finite or infinite (sometimes referred to as the Bachelier–Samuelson Gaussian world versus the Mandelbrot stable world). A different formulation of the question asks how heavy the tails of the financial returns are. The available empirical evidence can be, and has been, interpreted in more than one way. The apparent paradox, which has puzzled many a researcher, is that the tails appear to become less heavy for less frequent (e.g. monthly) returns than for more frequent (e.g. daily) returns, a phenomenon not easily explainable by the standard models. Inspired by the prelimit theorems of Klebanov, Rachev and Szekely (1999 Klebanov, L, Rachev, S and Szekely, G. 1999. Pre-limit theorems and their applications. Acta Applicandae Mathematicae, 58: 159–174.  [Google Scholar]) and Klebanov, Rachev and Safarian (2000 Klebanov, L, Rachev, S and Safarian, M. 2000. Local prelimit theorems and their applications to finance. Appl. Math. Lett., 13: 73–78.  [Google Scholar]), we provide an explanation of this paradox. We show that, for financial returns, a natural family of models are those with tempered heavy tails. These models can generate observations that appear heavy tailed for a wide range of aggregation levels before becoming clearly light tailed at even larger aggregation scales. Important examples demonstrate the existence of a natural scale associated with the model at which such an apparent shift in the tails occurs.     

Events and economic forecasting models

In the June 1972 issue of Futures, Olaf Helmer developed the idea of cross-impact analysis to include both events (singular occurrences) and trends (gradual developments).¹ The present article pursues further this idea, using an econometric forecasting model to represent the economic trends in an economy, and a sequential cross-impact method to analyse the events which could change its course. The application of this idea, also described in the article, suggests a procedure for improving the communication between model builders and final users.     

Understanding social change: Some comments on “Prediction and social change”

Gordon Rattray Taylor argued, in the October 1977 issue of Futures,² that forecasting needs a fuller understanding of social change, and of the factors which influence it. In this response, Willis Harman discusses Taylor's view of the importance of individual and personal values in the process of change, and comments upon his analysis of those values.     

Private fiat money with many suppliers

A dynamic rational expectations model of money is used to investigate whether a Nash equilibrium of many firms, each supplying its own brand-name currency, will optimally deflate their currencies in Friedman's (1969) sense. The optimal deflation does arise under an open loop dynamic structure, but the equilibrium breaks down under a more realistic feedback control structure.     

Stock returns and the Miller Modigliani valuation formula: Revisiting the Fama French analysis

Fama and French (2006) use the dividend-discount model to develop the role of expected profitability, expected investment, and the book-to-market ratio as predictors of stock returns. One reported empirical result is anomalous. The valuation model establishes that the comparative static relation between expected returns and expected investment is negative, yet it appears to be positive and insignificant. We show that the posited valuation relations apply at the firm level, and not at the per share level at which they were tested. Once the variables are measured at the firm level, all the Fama French predictions are validated.     

Tukey’s transformational ladder for portfolio management

Over the past half-century, the empirical finance community has produced vast literature on the advantages of the equally weighted Standard and Poor (S&P 500) portfolio as well as the often overlooked disadvantages of the market capitalization weighted S&P 500’s portfolio (see Bloomfield et al. in J Financ Econ 5:201–218, 1977; DeMiguel et al. in Rev Financ Stud 22(5):1915–1953, 2009; Jacobs et al. in J Financ Mark 19:62–85, 2014; Treynor in Financ Anal J 61(5):65–69, 2005). However, portfolio allocation based on Tukey’s transformational ladder has, rather surprisingly, remained absent from the literature. In this work, we consider the S&P 500 portfolio over the 1958–2015 time horizon weighted by Tukey’s transformational ladder (Tukey in Exploratory data analysis, Addison-Wesley, Boston, 1977): \(1/x^2,\,\, 1/x,\,\, 1/\sqrt{x},\,\, \text {log}(x),\,\, \sqrt{x},\,\, x,\,\, \text {and} \,\, x^2\), where x is defined as the market capitalization weighted S&P 500 portfolio. Accounting for dividends and transaction fees, we find that the 1/\(x^2\) weighting strategy produces cumulative returns that significantly dominate all other portfolio returns, achieving a compound annual growth rate of 18% over the 1958–2015 horizon. Our story is furthered by a startling phenomenon: both the cumulative and annual returns of the \(1/x^2\) weighting strategy are superior to those of the 1 / x weighting strategy, which are in turn superior to those of the \(1/\sqrt{x}\) weighted portfolio, and so forth, ending with the \(x^2\) transformation, whose cumulative returns are the lowest of the seven transformations of Tukey’s transformational ladder. The order of cumulative returns precisely follows that of Tukey’s transformational ladder. To the best of our knowledge, we are the first to discover this phenomenon.     

Quango reform: the next steps?

The coalition government elected in 2010 in the UK pursued a programme of quango reform focused on reducing the number and expenditure of arm’s-length bodies, increasing transparency, improving accountability and maximizing efficiency and effectiveness. This paper revisits Flinders and Skelcher’s 2012 Flinders, M. and Skelcher, C. (2012), Shrinking the quango state: five challenges in reforming quangos. Public Money &; Management, 32, 5, pp. 327–334.[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar] PMM paper ‘Shrinking the quango state: five challenges in reforming quangos’ to assess progress to date and consider future challenges. Drawing insights from the UK programme of quango reform, as well as similar developments in Ireland, the authors identify five new challenges for governments: regulating, managing, reconciling, co-ordinating and reflecting.     

Company investment announcements and the market value of the firm

This paper examines the stock market reaction to 402 company investment announcements made by UK companies during the 1991–1996 period. The market-adjusted abnormal returns are generally positive but small. Investment announcements are classified according to functional categories, and we find the level of abnormal returns to vary according to the type of capital investment being announced. In particular, we find the market to react more favourably to investments that ‘create’ future investment opportunities, than to investments which can be categorized as ‘exercising’ investment opportunities. The market reaction also varies with firm size, with large companies tending to experience smaller responses to announcements than do smaller firms. Chung et al. (1998 Chung, KH, Wright, P and Charoenwong, C. (1998). Investment opportunities and market reaction to capital expenditure decisions. Journal of Banking and Finance, 22: 41–60.  ) reported that the quality of a company's investment opportunities is the primary determinant of market reactions to capital expenditure decisions. The findings presented here lend some support to a role for investment opportunities in market valuations. Project size is also found to have a significant positive impact on the level of abnormal returns.     

Optimal execution strategies in limit order books with general shape functions

We consider optimal execution strategies for block market orders placed in a limit order book (LOB). We build on the resilience model proposed by Obizhaeva and Wang (2005 Obizhaeva, A and Wang, J. 2005. Optimal trading strategy and supply/demand dynamics, Preprint Available online at: http://www.rhsmith.umd.edu/faculty/obizhaeva/OW060408.pdf (accessed 16 February 2009)[Crossref] , [Google Scholar]) but allow for a general shape of the LOB defined via a given density function. Thus, we can allow for empirically observed LOB shapes and obtain a nonlinear price impact of market orders. We distinguish two possibilities for modelling the resilience of the LOB after a large market order: the exponential recovery of the number of limit orders, i.e. of the volume of the LOB, or the exponential recovery of the bid–ask spread. We consider both of these resilience modes and, in each case, derive explicit optimal execution strategies in discrete time. Applying our results to a block-shaped LOB, we obtain a new closed-form representation for the optimal strategy of a risk-neutral investor, which explicitly solves the recursive scheme given in Obizhaeva and Wang (2005 Obizhaeva, A and Wang, J. 2005. Optimal trading strategy and supply/demand dynamics, Preprint Available online at: http://www.rhsmith.umd.edu/faculty/obizhaeva/OW060408.pdf (accessed 16 February 2009)[Crossref] , [Google Scholar]). We also provide some evidence for the robustness of optimal strategies with respect to the choice of the shape function and the resilience-type.     

Do emerging markets with consistent returns have better future performance?

Using monthly data for 25 emerging markets around the world, it is found that emerging markets with recently consistent stock returns tend to have future returns that continue in the same direction. The effects are long-lived for negative consistency, and imply that capital flows are much more sensitive to market downturns than market upturns. Additionally, the longer a market has had consistently negative (positive) stock returns, the more negative (positive) are future returns. These results serve as confirmation that the consistency effects of Grinblatt and Moskowitz [J. Finan. Econ., 2004 Grinblatt, M and Moskowitz, T. 2004. Predicting stock price movements from the pattern of past returns. J. Finan. Econ., 71: 541–579. [Crossref], [Web of Science ®] , [Google Scholar], forthcoming] and Watkins [J. Behav. Finan., 2003 Watkins, B. 2003. Riding the wave of investor sentiment: an analysis of consistency as a predictor of future stock returns. J. Behav. Finan., 4: 1–32.  [Google Scholar], 4, 1–32] exist in emerging markets around the world.     

Oil prices implied volatility or direction: Which matters more to financial markets?

We examine the impact of oil price uncertainty on US stock returns by industry using the US Oil Fund options implied volatility OVX index and a GJR-GARCH model. We test the effect of the implied volatility of oil on a wide array of domestic industries’ returns using daily data from 2007 to 2016, controlling for a variety of variables such as aggregate market returns, market volatility, exchange rates, interest rates, and inflation expectations. Our main finding is that the implied volatility of oil prices has a consistent and statistically significant negative impact on nine out of the ten industries defined in the Fama and French (J Financ Econ 43:153–193, 1997) 10-industry classification. Oil prices, on the other hand, yield mixed results, with only three industries showing a positive and significant effect, and two industries exhibiting a negative and significant effect. These findings are an indication that the volatility of oil has now surpassed oil prices themselves in terms of influence on financial markets. Furthermore, we show that both oil prices and their volatility have a positive and significant effect on corporate bond credit spreads. Overall, our results indicate that oil price uncertainty increases the risk of future cash flows for goods and services, resulting in negative stock market returns and higher corporate bond credit spreads.     

A modified Corrado test for assessing abnormal security returns

Event studies typically use the methodology developed by Fama et al. [1969 Fama, E., Fisher, L., Jensen, M. and Roll, R. 1969. The adjustment of stock prices to new information. International Economic Review, 10(1): 1–21. [Crossref] , [Google Scholar]. The adjustment of stock prices to new information. International Economic Review 10, no. 1: 1–21] to segregate a stock's return into expected and unexpected components. Moreover, conventional practice assumes that abnormal returns evolve in terms of a normal distribution. There is, however, an increasing tendency for event studies to employ non-parametric testing procedures due to the mounting empirical evidence which shows that stock returns are incompatible with the normal distribution. This paper focuses on the widely used non-parametric ranking procedure developed by Corrado [1989 Corrado, C. 1989. A nonparametric test for abnormal security price performance in event studies. Journal of Financial Economics, 23(2): 385–95. [Crossref], [Web of Science ®] , [Google Scholar]. A nonparametric test for abnormal security price performance in event studies. Journal of Financial Economics 23, no. 2: 385–95] for assessing the significance of abnormal security returns. In particular, we develop a consistent estimator for the variance of the sum of ranks of the abnormal returns, and show how this leads to a more efficient test statistic (as well as to less cumbersome computational procedures) than the test originally proposed by Corrado (1989 Corrado, C. 1989. A nonparametric test for abnormal security price performance in event studies. Journal of Financial Economics, 23(2): 385–95. [Crossref], [Web of Science ®] , [Google Scholar]). We also use the theorem of Berry [1941 Berry, A. 1941. The accuracy of the Gaussian approximation to the sum of independent variates. Transactions of the American Mathematical Society, 49(1): 122–36. [Crossref] , [Google Scholar]. The accuracy of the Gaussian approximation to the sum of independent variates. Transactions of the American Mathematical Society 49, no. 1: 122–36] and Esseen [1945 Esseen, C. 1945. Fourier analysis of distribution functions: A mathematical study of the Laplace–Gaussian law. Acta Mathematica, 77(1): 1–125. [Crossref], [Web of Science ®] , [Google Scholar]. Fourier analysis of distribution functions: A mathematical study of the Laplace–Gaussian law. Acta Mathematica 77, no. 1: 1–125] to demonstrate how the distribution of the modified Corrado test statistic developed here asymptotically converges towards the normal distribution. This shows that describing the distributional properties of the sum of the ranks in terms of the normal distribution is highly problematic for small sample sizes and small event windows. In these circumstances, we show that a second-order Edgeworth expansion provides a good approximation to the actual probability distribution of the modified Corrado test statistic. The application of the modified Corrado test developed here is illustrated using data for the purchase and sale by UK directors of shares in their own companies.     

Industry cost of equity capital: European evidence for multifactor models

We estimate the costs of equity capital for 117 industries from 16 European countries employing the CAPM and 8 multifactor asset pricing models as well as a variety of different econometric techniques. In doing so, we extend previous research on cost of equity estimation in mainly two ways. First, our study involves European instead of US or UK industries, which are investigated in previous research, and we find that cost of equity estimates obtained from the CAPM or multifactor asset pricing models are as imprecise for European industries as for US and UK industries. Second, in addition to the CAPM, the Fama and French [1993 Fama, Eugene F., and Kenneth R. French. 1993. “Common Risk Factors in the Returns on Stocks and Bonds.” Journal of Financial Economics 33: 3–56. doi: 10.1016/0304-405X(93)90023-5[Crossref], [Web of Science ®] , [Google Scholar]. “Common Risk Factors in the Returns on Stocks and Bonds.” Journal of Financial Economics 33: 3–56] three-factor model, and the Carhart [1997 Carhart, Mark M. 1997. “On Persistence in Mutual Fund Performance.” The Journal of Finance 52 (1): 57–82. doi: 10.1111/j.1540-6261.1997.tb03808.x[Crossref], [Web of Science ®] , [Google Scholar]. “On Persistence in Mutual Fund Performance.” The Journal of Finance 52 (1): 57–82] four-factor model, which are usually employed, our study includes six multifactor models that have not yet been examined on their ability to provide precise estimates of the costs of equity: the five-factor model of Fama and French [1993 Fama, Eugene F., and Kenneth R. French. 1993. “Common Risk Factors in the Returns on Stocks and Bonds.” Journal of Financial Economics 33: 3–56. doi: 10.1016/0304-405X(93)90023-5[Crossref], [Web of Science ®] , [Google Scholar]. “Common Risk Factors in the Returns on Stocks and Bonds.” Journal of Financial Economics 33: 3–56] as well as the multifactor models of Pástor and Stambaugh [2003 Pástor, Lubos, and Robert F. Stambaugh. 2003. “Liquidity Risk and Expected Stock Returns.” Journal of Political Economy 111 (3): 642–685. doi: 10.1086/374184[Crossref], [Web of Science ®] , [Google Scholar]. “Liquidity Risk and Expected Stock Returns.” Journal of Political Economy 111 (3): 642–685]; Campbell and Vuolteenaho [2004 Campbell, John Y., and Tuomo Vuolteenaho. 2004. “Bad Beta, Good Beta.” American Economic Review 94 (5): 1249–1275. doi: 10.1257/0002828043052240[Crossref], [Web of Science ®] , [Google Scholar]. “Bad Beta, Good Beta.” American Economic Review 94 (5): 1249–1275]; Hahn and Lee [2006 Hahn, Jaehoon, and Hangyong Lee. 2006. “Yield Spreads as Alternative Risk Factors for Size and Book-To-Market.” Journal of Financial &; Quantitative Analysis 41 (2): 245–269. doi: 10.1017/S0022109000002052[Crossref], [Web of Science ®] , [Google Scholar]. “Yield Spreads as Alternative Risk Factors for Size and Book-To-Market.” Journal of Financial &; Quantitative Analysis 41 (2): 245–269]; Petkova [2006 Petkova, Ralitsa. 2006. “Do the Fama–French Factors Proxy for Innovations in Predictive Variables?” The Journal of Finance 61 (2): 581–612. doi: 10.1111/j.1540-6261.2006.00849.x[Crossref], [Web of Science ®] , [Google Scholar]. “Do the Fama–French Factors Proxy for Innovations in Predictive Variables?” The Journal of Finance 61 (2): 581–612]; and Koijen, Lustig, and van Nieuwerburgh [2010 Koijen, Ralph S., Hanno N. Lustig, and Stijn G. van Nieuwerburgh. 2010. “The Cross-Section and Time-Series of Stock and Bond Returns.” Working Paper, University of Chicago, University of California at Los Angeles, New York University. [Google Scholar]. “The Cross-Section and Time-Series of Stock and Bond Returns.” Working Paper, University of Chicago, University of California at Los Angeles, New York University]. Our results suggest that these models provide even more imprecise cost of equity estimates. One main reason for these inaccurate estimates is the large temporal variation of the risk loadings on the non-traded factors in these models.