Principaux obstacles à la décision d’investissement des firmes en Afrique

Quelles sont les contraintes auxquelles font face les firmes africaines ? Cette étude a pour but de cerner les principaux défis du climat des affaires africain en utilisant les données de la World Bank Enterprise Survey. Dans cette enquête, deux questions majeures ont été posées au gestionnaire de firmes : i) l’ampleur des contraintes énumérées pour leur activité et ii) la décision d’investissement durant l’année qui a précédé l’enquête. Nos résultats montrent que, pour les firmes de notre échantillon, la décision d’investissement est retardée par un ensemble d’obstacles parmi lesquelles : la corruption, l’accès difficile au marché financier, la concurrence déloyale du secteur informel et l’instabilité politique. Nous procédons ensuite à une analyse de sensibilité et de robustesse en intégrant parmi les variables de contrôle ; la taille des firmes, le secteur d’activité et leur localisation. Nos résultats montrent que les firmes de taille moyenne sont les plus vulnérables, elles sont différemment affectées selon qu’elles soient dans le secteur des manufactures ou celui des services et les compagnies situées en Afrique centrale sont très peu affectées par ces contraintes.

Impacto de la dinámica oceanográfica en la variación de azufre inorgánico en sedimentos de la Bahía de Paracas

Las condiciones oceanográficas y geoquímicas asociadas al azufre inorgánico fueron estudiadas en la bahía de Paracas para determinar su impacto en los procesos de sulfato-reducción, el intercambio de sulfuro de hidrógeno en la interfaz agua-sedimento y su movilización hacia la fracción precipitada. Se establecieron tres estaciones de muestreo al interior de la bahía entre abril y junio de 2015. La variación espacio-temporal de las especies de azufre inorgánico disuelto (H2S y SO4-2) y precipitado (Acid Volatile Sulfide AVS y Chromium-Reducible Sulfur CRS) se analizaron en relación a los factores ambientales: velocidad de vientos, oxígeno disuelto, temperatura, pH e indicadores de materia orgánica fresca (Cl-a) y de preservación de materia orgánica (COT y NT), así como azufre total (ST). A partir de los análisis de correlación cruzada, se infiere que en las estaciones más profundas hay una mayor correlación entre el oxígeno disuelto y la temperatura que en la estación somera, la correlación de estas variables con la velocidad de viento no fue significativa (p>0.05). Las aguas de fondo en la bahía muestran alternancia entre condiciones hipóxicas (<1,43 mL/L) y micróxicas (<0.10 mL/L) durante otoño con períodos prolongados y con máximas concentraciones de H2S (4,966.76 uM) en los primeros 20 cm del sedimento. El análisis de componentes principales sugiere condiciones más favorables para la sulfato reducción en abril y una mayor oxigenación en junio, a pesar de esto hay una tendencia de incremento de AVS y CRS hacia junio, posiblemente como una respuesta en desfase de las condiciones iniciales, ocasionando una mayor precipitación de monosulfuros de hierro y pirita hacia junio. A pesar de esta precipitación significativa de azufreexisten importantes flujos difusivos de H2S (en promedio de 574.76 μmol.m².d-1), colocando a la bahía de Paracas bajo un escenario de fuente de H2S, que podría alcanzar una condición más severa (2824.94 μmol.m².d-1) durante un evento de aguas blancas.

Credit spreads and monetary policy in a small open economy: an analysis of the colombian economy

This paper estimates Bejarano and Charry (2014)’s small open economy with financial frictions model for the Colombian economy using Bayesian estimation techniques. Additionally, I compute the welfare gains of implementing an optimal response to credit spreads into an augmented Taylor rule. The main result is that a reaction to credit spreads does not imply significant welfare gains unless the economic disturbances increases its volatility, like the disruption implied by a financial crisis. Otherwise its impact over the macroeconomic variables is null.

The cross-section of stock returns in an early stock market

Using a new dataset which contains monthly data on 1015 stocks traded on the London Stock Exchange between 1825 and 1870, we investigate the cross section of stock returns in this early capital market. Unique features of this market allow us to evaluate the veracity of several popular explanations of asset pricing behavior. Using portfolio analysis and Fama–MacBeth regressions, we find that stock characteristics such as beta, illiquidity, dividend yield, and past-year return performance are all positively correlated with stock returns. However, market capitalization and past-three-year return performance have no significant correlation with stock returns.

Asset allocation, cross-class correlation and the structure of property returns

Practical applications of portfolio optimisation tend to proceed on a “top down” basis where funds are allocated first at asset class level (between, say, bonds, cash, equities and real estate) and then, progressively, at sub-class level (within property to sectors, office, retail, industrial for example). While there are organisational benefits from such an approach, it can potentially lead to sub-optimal allocations when compared to a “global” or “side-by-side” optimisation. This will occur where there are correlations between sub-classes across the asset divide that are masked in aggregation – between, for instance, City offices and the performance of financial services stocks. This paper explores such sub-class linkages using UK monthly stock and property data. Exploratory analysis using clustering procedures and factor analysis suggests that property performance and equity performance are distinctive: there is little persuasive evidence of contemporaneous or lagged sub-class linkages. Formal tests of the equivalence of optimised portfolios using top-down and global approaches failed to demonstrate significant differences, whether or not allocations were constrained. While the results may be a function of measurement of market returns, it is those returns that are used to assess fund performance. Accordingly, the treatment of real estate as a distinct asset class with diversification potential seems justified.

The economic consequences of corporate financial reporting on Twitter

The use of social media has spread into many different areas including marketing, customer service, and corporate disclosure. However, our understanding of the timely effect of financial reporting information on Twitter is still limited. In this paper, we examine the timely effect of financial reporting information on Twitter in the Australian context, as reflected in the follow-up stock market reaction. With the use of event methodology and comparative setting, we find that financial reporting disclosure on Twitter reduces the information asymmetry level. This is evidenced by reduction of bid-ask spread and increase of share trading volume. The results of this study imply that financial reporting disclosure on social media assists the dissemination of information and the stock market response to this information

Measuring and testing for the systemically important financial institutions

This paper analyzes the measure of systemic importance ∆CoV aR proposed by Adrian and Brunnermeier (2009, 2010) within the context of a similar class of risk measures used in the risk management literature. In addition, we develop a series of testing procedures, based on ∆CoV aR, to identify and rank the systemically important institutions. We stress the importance of statistical testing in interpreting the measure of systemic importance. An empirical application illustrates the testing procedures, using equity data for three European banks.

Stock return comovements and integration within the Latin American integrated market

Financial integration has been pursued aggressively across the globe in the last fifty years; however, there is no conclusive evidence on the diversification gains (or losses) of such efforts. These gains (or losses) are related to the degree of comovements and synchronization among increasingly integrated global markets. We quantify the degree of comovements within the integrated Latin American market (MILA). We use dynamic correlation models to quantify comovements across securities as well as a direct integration measure. Our results show an increase in comovements when we look at the country indexes, however, the increase in the trend of correlation is previous to the institutional efforts to establish an integrated market in the region. On the other hand, when we look at sector indexes and an integration measure, we find a decreased in comovements among a representative sample of securities form the integrated market.

Network externalities across financial institutions

We propose and estimate a financial distress model that explicitly accounts for the interactions or spill-over effects between financial institutions, through the use of a spatial continuity matrix that is build from financial network data of inter bank transactions. Such setup of the financial distress model allows for the empirical validation of the importance of network externalities in determining financial distress, in addition to institution specific and macroeconomic covariates. The relevance of such specification is that it incorporates simultaneously micro-prudential factors (Basel 2) as well as macro-prudential and systemic factors (Basel 3) as determinants of financial distress. Results indicate network externalities are an important determinant of financial health of a financial institutions. The parameter that measures the effect of network externalities is both economically and statistical significant and its inclusion as a risk factor reduces the importance of the firm specific variables such as the size or degree of leverage of the financial institution. In addition we analyze the policy implications of the network factor model for capital requirements and deposit insurance pricing.

Empirical Analysis of Credit Risk Regime Switching and Temporal Conditional Default Correlation in Credit Default Swap Valuation: The Market liquidity effect

In this paper, we extend the debate concerning Credit Default Swap valuation to include time varying correlation and co-variances. Traditional multi-variate techniques treat the correlations between covariates as constant over time; however, this view is not supported by the data. Secondly, since financial data does not follow a normal distribution because of its heavy tails, modeling the data using a Generalized Linear model (GLM) incorporating copulas emerge as a more robust technique over traditional approaches. This paper also includes an empirical analysis of the regime switching dynamics of credit risk in the presence of liquidity by following the general practice of assuming that credit and market risk follow a Markov process. The study was based on Credit Default Swap data obtained from Bloomberg that spanned the period January 1st 2004 to August 08th 2006. The empirical examination of the regime switching tendencies provided quantitative support to the anecdotal view that liquidity decreases as credit quality deteriorates. The analysis also examined the joint probability distribution of the credit risk determinants across credit quality through the use of a copula function which disaggregates the behavior embedded in the marginal gamma distributions, so as to isolate the level of dependence which is captured in the copula function. The results suggest that the time varying joint correlation matrix performed far superior as compared to the constant correlation matrix; the centerpiece of linear regression models.

Career Crisis? Impacts of Financial Shock on the Entry-Level Labor Market: Evidence from Thailand

We utilize Thailand's the financial crisis in 1997 as a natural experiment which exogenously shifts labor demand. Convincing evidence from the Thailand Labor Force Survey support the hypothesis that both employment opportunities and wages shrunk for new entrants after the crisis. We find that workers who entered before the crisis experienced job losses and wage losses. But these losses were smaller than those of new entrants after the crisis. We also find that new entrants after the crisis experienced a 10% reduction in the overtime wages compared to new entrants before the crisis.

A linked data approach to sentiment and emotion analysis of twitter in the financial domain

Sentiment analysis has recently gained popularity in the financial domain thanks to its capability to predict the stock market based on the wisdom of the crowds. Nevertheless, current sentiment indicators are still silos that cannot be combined to get better insight about the mood of different communities. In this article we propose a Linked Data approach for modelling sentiment and emotions about financial entities. We aim at integrating sentiment information from different communities or providers, and complements existing initiatives such as FIBO. The ap- proach has been validated in the semantic annotation of tweets of several stocks in the Spanish stock market, including its sentiment information.

UMA ANÁLISE DA RELAÇÃO ENTRE VARIÁVEIS MACROECONÔMICAS E O COMPORTAMENTO DAS AÇÕES DE MAIOR LIQUIDEZ DO ÍNDICE IBOVESPA

As ações de maior liquidez do índice IBOVESPA, refletem o comportamento das ações de um modo geral, bem como a relação das variáveis macroeconômicas em seu comportamento e estão entre as mais negociadas no mercado de capitais brasileiro. Desta forma, pode-se entender que há reflexos de fatores que impactam as empresas de maior liquidez que definem o comportamento das variáveis macroeconômicas e que o inverso também é uma verdade, oscilações nos fatores macroeconômicos também afetam as ações de maior liquidez, como IPCA, PIB, SELIC e Taxa de Câmbio. O estudo propõe uma análise da relação existente entre variáveis macroeconômicas e o comportamento das ações de maior liquidez do índice IBOVESPA, corroborando com estudos que buscam entender a influência de fatores macroeconômicos sobre o preço de ações e contribuindo empiricamente com a formação de portfólios de investimento. O trabalho abrangeu o período de 2008 a 2014. Os resultados concluíram que a formação de carteiras, visando a proteção do capital investido, deve conter ativos com correlação negativa em relação às variáveis estudadas, o que torna possível a composição de uma carteira com risco reduzido.

Europe’s Untapped Capital Market: Rethinking integration after the great financial crisis. Final report of the European Capital Markets Expert Group. Task Force Report, February 2016

In December 2014, ECMI and CEPS formed the European Capital Markets Expert Group (ECMEG) with the aim of providing a long-term contribution to the debate on the Capital Markets Union (CMU) project, proposed by the European Commission. After an intensive, year-long research effort and in-depth discussions with ECMEG members, this final report aims to rethink financial integration policies in the European Union and to devise an EU-wide plan to remove the barriers to greater capital markets integration. It offers a methodology to identify and prioritise cross-border barriers to capital markets integration and provides a set of policy recommendations to improve its key components: price discovery, execution and enforcement of capital markets transactions.

UMA ANÁLISE DA RELAÇÃO ENTRE VARIÁVEIS MACROECONÔMICAS E O COMPORTAMENTO DAS AÇÕES DE MAIOR LIQUIDEZ DO ÍNDICE IBOVESPA

As ações de maior liquidez do índice IBOVESPA, refletem o comportamento das ações de um modo geral, bem como a relação das variáveis macroeconômicas em seu comportamento e estão entre as mais negociadas no mercado de capitais brasileiro. Desta forma, pode-se entender que há reflexos de fatores que impactam as empresas de maior liquidez que definem o comportamento das variáveis macroeconômicas e que o inverso também é uma verdade, oscilações nos fatores macroeconômicos também afetam as ações de maior liquidez, como IPCA, PIB, SELIC e Taxa de Câmbio. O estudo propõe uma análise da relação existente entre variáveis macroeconômicas e o comportamento das ações de maior liquidez do índice IBOVESPA, corroborando com estudos que buscam entender a influência de fatores macroeconômicos sobre o preço de ações e contribuindo empiricamente com a formação de portfólios de investimento. O trabalho abrangeu o período de 2008 a 2014. Os resultados concluíram que a formação de carteiras, visando a proteção do capital investido, deve conter ativos com correlação negativa em relação às variáveis estudadas, o que torna possível a composição de uma carteira com risco reduzido.