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The purpose of this paper is to extend the research on private equity by studying the drivers of leveraged buyout (LBO) operating performance in Latin America. The authors consider a large set of candidate drivers (financial, governance, macroeconomic and industry variables) and study their effects on performance over short- and long-terms.

To conduct this study, the authors used Capital IQ as a database as well as a hand-collected data set covering LBO in Latin America from 2000 to 2008.

The empirical results show that macroeconomic variables have an important impact on LBO value creation. Governance variables show also that LBO transactions reduce information asymmetries between existing and new management teams. Consequently, a concentrated shareholder structure has a better impact on performance than diluted stockholders. Financial variables present significant effects after the delisting.

The characteristics of the debts included in the balance sheets (maturity for example) are not available in the authors' data basis. A test including this information could bring other elements of explanation. The measure of cumulative abnormal returns around going-private announcements and their impacts on shareholder’s value could also be of interest. This last study has been published for the UK (Wright et al., 2006). Further research should introduce other continents and particularly Asia in the analysis but also comparisons between the Brazil–Russia–India–China–South Africa (BRICS) countries.

This study makes five main contributions. First, the authors construct an LBO sample with emerging markets and specially Latin America. It is the first time that an academic article has been realized. Data are very difficult to obtain to do empirical tests. Latin America is a part of emerging markets, which is an interesting study subject due to their attractiveness in terms of growth of private equity funds. Second, to understand clearly how LBOs create value, the authors construct a sample control to highlight the key factors. Criteria of size, sector of activity and Standard Industrial Classification (SIC) codes were strictly enforced. Third, the authors do not focus on the moment where the transaction is realized like many studies but before and after the delisting. Indeed, they observed, on the one hand, the operating performance between year −1 and year +1 and, on the other hand, the operating performance between year −1 and year +3. Generally, only the market reaction around the acquisition announcement is examined. Post-performance is not considered due to lack of data. Fourth, the authors take into account the macroeconomic effects on performance of LBOs. It is the first examination of the impact of macroeconomic factors on performance of LBOs in Latin America. And fifth, they analyze the impact of going-private decisions on employees.

In recent years, several methodologies for measuring portfolio credit risk have been introduced that demonstrate the benefits of using internal models to measure credit risk in the loan book. These models measure economic credit capital and are specifically designed to capture portfolio effects and account for obligor default correlations. An example of an integrated market and credit risk model that overcomes this limitation is given in Iscoe et al. [1999], which is equally applicable to commercial and retail credit portfolios. However, the measurement of portfolio credit risk in retail loan portfolios has received much less attention than the commercial credit markets. This article proposes a methodology for measuring the credit risk of a retail portfolio, based on the general portfolio credit risk framework of Iscoe et al. The authors discuss the practical estimation and implementation of the model. They demonstrate its applicability with a case study based on the credit card portfolio of a North American financial institution. They also analyze the sensitivity of the results to various assumptions.

Extensive research towards identifying the attributable cost overrun factors globally has been conducted predominantly from a survey-oriented perspective, which disregard the contextual basis on which these triggers manifest. This study aims to explore the driving factors of cost overrun in highway projects, specific to the Nigerian context.

The research used a context-based approach to seek project stakeholders’ perspectives on the key drivers of cost overrun in highway projects in Nigerian. Semi-structured interviews were conducted with client, contractor and consultant organisations involved in the provision of highway infrastructure projects in Nigeria. The collected data was analysed using a developed coding framework grounded on a case study approach, principles of inductive thematic analysis and saliency analysis to identify the key drivers.

Findings from the analysis identified triggers from macroeconomic, societal, leadership and project management perspectives with synergistic relationships with each other based on prevalence and significance. Among the key triggers is a delay in work progress, political instability, adverse weather, social issues, delay in progress payment to contractors and modification of project scope. In conclusion, the triggers of cost overrun in highway projects are contextually driven by the complex nature of the project management, societal, macroeconomic and leadership triggers specific to the Nigerian context.

The research was limited to only highway infrastructure projects in Nigeria. Furthermore, the findings are based on a small sample size, and thus, caution must be taken before applying the outcome of this study in a generalised way to other contexts.

Practically, the stakeholders i.e. client, contractors and consultants should acknowledge the contextual circumstances in which each of the triggers takes place, which will aid in developing pragmatic measures and make the right decisions towards addressing these triggers during any highway construction project in Nigeria and enhance the chances of project success.

The context-based approach applied in this study is expected to provide a new insight in understanding the triggers of cost overruns, especially in highway projects in Nigeria and indeed other developing countries with similar governance characteristics

In the economic literature, a crisis has been thematically defined around bank runs, failure of large financial corporations, and financial distress. Section 1 summarizes our learnings about international banking crisis, in terms of the origin and impact of such crises. This provides us an international benchmark before we delve deeper into India's banking distress, its size and trends. Section 2 focuses on the twin-balance-sheet crisis in India. On one side, corporate firms recklessly overleveraged, resulting in excess capacities and business diversification. On the other side, banks, both private and public, fell prey to excessive and procyclical credit lending and improper monitoring. Overall, too many projects were left too weakly monitored. Separately, we have focused on two subsections, first, how the financial institutions in India have overstretched their credit-disposal limit during market upturns. Second, we found absence of any theoretically grounded approaches to determine the capital-adequacy ratios (CARs) for the banks. In Section 3, we have identified the steps taken so far by the Banking regulator and the Government to resolve the crisis. Further, we critically examine the role of Korea Asset Management Corporation (KAMCO) towards a successful non-performing assets (NPAs) resolution in South Korea. Few key takeaways include, (1) establishing a public asset-management company (AMC) focused on maximization of recoveries and resolution of stressed assets, (2) well-defined governance structure for the AMC ensuring it works on market principles, shielded from political interferences, and (3) realistic asset valuation and transfer price that ensures limited downside risks for the public AMC.

The purpose of this paper is to develop an operational framework with guidelines and lessons to improve the current real estate portfolio disposal procedures of freeholds, based on empirical evidence from the banking sector.

The empirical research is based on a comparative analysis of four case studies, representing approximately 80 per cent of the Dutch banking sector. The case studies comprise a systematic document review of corporate business and real estate strategies and semi-structured interviews with decision makers who steer the organisation’s corporate real estate (CRE) portfolio composition.

This research shows a strong relationship between organisation characteristics, legacy and strategy, disposal drivers and CRE disposal strategies. The weighing of drivers and order of steps in strategy execution strategies largely depend on organisational objectives.

This paper reports empirical findings from Dutch case studies. To generalise, further research is needed in different legal, financial and economic contexts and in other sectors. This paper suggests a more thorough study of the relationship between space-use efficiency and technological innovation implementation..

The framework proposes strategy improvements and a proactive approach to corporate real estate management (CREM) to create value through real estate portfolios.

This paper provides a thorough analysis of the CREM of the Dutch banking sector and is applicable to CREM in this and other sectors.

This study aims to investigate the impact of the macroeconomic environment on South African industrial sector returns.

Using standardized coefficients derived from time-series factor models, the authors quantify the impact of macroeconomic influences on industrial sector returns. The authors analyze the structure of the resultant residual correlation matrices to establish the level of factor omission and apply a factor analytic augmentation to arrive at a specification that is free of omitted common factors.

The authors find that global influences are the most important drivers of returns and that industrial sectors are highly integrated with the global economy. The authors show that specifications that comprise only macroeconomic factors and proxies for omitted factors in the form of residual market factors are likely to be underspecified. This study demonstrates that a factor analytic augmentation is an effective approach to ensuring an adequately specified model.

The findings have a number of implications that are of interest to investors, econometricians and researchers. While the study focusses on a single market, the South African stock market, as represented by the Johannesburg Stock Exchange (JSE), it is a highly developed and globally integrated market. In terms of market capitalization, it exceeds the Madrid Stock Exchange, the Taiwan Stock Exchange and the BM&F Bovespa. Yet, a limited number of studies investigate the macroeconomic drivers of the South African stock market.

Investors should be aware that while the South African domestic environment, especially political risk, has an impact on returns, global influences are the greatest determinants of returns. No industrial sectors are insulated from global influences and this limits the potential for diversification. This study suggests an alternative set of macroeconomic factors that may be used in further analysis and asset pricing studies. From an econometric perspective, this study demonstrates the usefulness of a factor analytic augmentation as a solution to factor omission in models that use macroeconomic factors to proxy for systematic influences that describe asset prices.

The contribution lies in providing insight into a large and well-developed yet understudied financial market, the South African stock market. This study considers a much broader set of macroeconomic factors than prior studies. A methodological contribution is made by estimating and interpreting standardized coefficients to discriminate between the impact of domestically and internationally driven factors. This study shows that should coefficients not be standardized, inferences relating to the relative importance of factors will differ. Finally, the authors unify an approach of using pre-specified factors with a factor analytic approach to address factor omission and to ensure a valid and readily interpretable specification.

The purpose of this paper is to validate and quantify the effect of key macroeconomic drivers on London house prices using annual data over the period 1983–2016.

Within this context, the authors estimate alternative error-correction and partial-adjustment models (PAMs), which have been widely used in the empirical literature in modelling the slow adjustments of house prices to demand and supply shocks.

The results verify the existence of a strong long-term relationship between London house prices and key macroeconomic variables, such as UK GDP, London population and housing completions. A key finding of the study relevant to the debate on the causes of the housing affordability crisis is that the results provide little evidence in support of the argument that user demand, which is captured in the author’s model by Greater London population, may have had a diminished role in driving house price inflation in London.

The practical and policy implications of the results are that increased homebuilding activity in London will undoubtedly help limit house price increases. Also, any potential reduction of immigration and economic growth due to Brexit will also have a similar effect.

The originality of this research lies in the use of annual data that may better capture the long-term effect of macroeconomic drivers on house prices and the estimation of such effects through both error-correction and partial-adjustment models.

The purpose of this paper is to examine the macroeconomic drivers of stock market development in Hong Kong during the period 1992Q4-2016Q3. Specifically, it investigates the impact of banking sector development, economic growth, inflation rate, exchange rate, trade openness and stock market liquidity on stock market development.

This paper uses quarterly time-series data covering the period 1992Q4-2016Q3, which have been obtained from various reliable sources. The study uses the autoregressive distributed lag bounds testing procedure to identify both the long- and short-run macroeconomic drivers of stock market development in Hong Kong.

We find that banking sector development and economic growth have positive impacts on stock market development, whereas the inflation rate and the exchange rate have negative impacts on stock market development both in the long and short run. In addition, the results show that trade openness has a positive long-run impact but a negative short-run impact on stock market development.

Despite the phenomenal growth of stock market in Hong Kong, there are, to the best of the authors’ knowledge, no relevant studies on the macroeconomic drivers of stock market development in Hong Kong. Therefore, this paper endeavours to enrich the literature by examining the macroeconomic drivers of stock market development in Hong Kong during the period 1992Q4-2016Q3.

The studies on international housing markets have not modeled frequency domain and focused only on the time domain. The purpose of the present research is to fill this gap by using the state-of-the-art econometric technique of wavelets to understand how differences in the horizon of analysis across time impact international housing markets’ relationship with some of the key macroeconomic variables. The purpose is to also analyze the direction of causation in the relationships.

The author uses the novel time–frequency analysis of international housing markets’ linkages to the macroeconomic drivers. Unlike conventional approaches that do not distinguish between time and frequency domain, the author uses wavelets to study house prices’ relationship with its drivers in the time–frequency space. The novelty of the approach also allows gaining insights into the debates that deal with the direction of causation between house price changes and macroeconomic variables.

Results show that the relationship between house prices and key macroeconomic indicators varies significantly across countries, time, frequencies and the direction of causation. House prices are most related to interest rates at the higher frequencies (short-run) and per capita income growth at the lower frequencies (long-run). The role of industrial production and income growth has switched over time at lower frequencies, particularly, in Finland, France, Sweden and Japan. The stock market’s nexus with the housing market is significant mainly at high to medium frequencies around the recent financial crisis.

The present research implies that in contrast to the existing approaches that are limited to the only time domain, the frequency considerations are equally, if not more, important.

Results show that interested researchers and analysts of international housing markets need to account for the both horizon and time under consideration. Because the factors that drive high-frequency movements in housing market are very different from low-frequency movements. Furthermore, these roles vary over time.

The insights from the present study suggest policymakers interested in bringing social change in the housing markets need to account for the time–frequency dynamics found in this study.

The paper is novel on at least two dimensions. First, to the best of the author’s knowledge, this study is the first to propose the use of a time–frequency approach in modeling international housing market dynamics. Second, unlike present studies, it is the first to uncover the direction of causation between house prices and economic variables for each frequency at every point of time.

The aim of this paper is to contribute to empirical research by identifying the key macroeconomic drivers of equity market development in Sub-Saharan Africa (SSA) and to ascertain if banking sector development complements equity market development in the SSA region.

The study employed the dynamic panel data approach using the pool mean group (PMG). The sample covered is twenty-seven (27) SSA countries between the period 2000 to 2020.

The result suggests that banking sector development, economic growth, migrant remittance and trade openness are the key drivers of equity market development in the SSA region. The study also revealed that banking sector development complements equity market development in the SSA region.

The use of robust measure in measuring equity market development (i.e. ratio of portfolio equity to gross domestic product) in ascertaining the macroeconomic drivers of equity market development. Likewise, exploring whether banking sector development complements equity market development in the SSA region makes the paper more unique, especially using the ratio of bank credit to bank deposit as a measure banking sector development.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-01-2024-0005