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The purpose of this paper is to create a universal (asset-class-independent) portfolio risk index for a global private investor.

The authors first discuss existing risk measures and desirable properties of a risk index. Then, they construct a universal (asset-class-independent) portfolio risk measure by modifying Financial Turbulence of Kritzman and Li (2010). Finally, the average portfolio of a representative global private investor is determined, and, by applying the new portfolio risk measure, they derive the Private investor Risk IndeX.

The authors show that this index exhibits commonly expected properties of risk indices, such as proper reaction to well-known historical market events, persistence in time and forecasting power for both risk and returns to risk.

A dynamic asset allocation example illustrates one potential practical application for global private investors.

As of now, a risk index reflecting the overall risk of a typical multi-asset-class portfolio of global private investors does not seem to exist.

This study examines the risk spillovers between Indonesian sectorial stocks (Energy, Basic Materials, Industrials, Consumer Cyclicals, Consumer Non-cyclical and Financials), the aggregate index (IDX) and two commodities (gold and West Texas Intermediate Crude Oil [WTI] futures).

The study uses two methodologies: the TVP-VAR model of Antonakakis and Gabauer (2017) and the quantile connectedness approach of Ando et al. (2022). The data cover the period from October 04, 2010, to April 5, 2022.

The results show that the IDX, industrials and materials are net transmitters, while the financials, consumer noncyclical and energy sectors are the dominant shock receivers. Using the quantile connectedness approach, the role of each sector is heterogeneous and asymmetric, and the return spillover is stronger at lower and higher quantiles. Furthermore, the portfolio hedging results show that oil offers more diversification gains than gold, and hedging oil is more effective during the pandemic.

This study provides valuable insights for investors to diversify their portfolios and for policymakers to develop policies, regulations and risk management tools to promote stability in the Indonesian stock market. The results can inform the design of market regulations and the development of risk management tools to ensure the stability and resilience of the market.

This study is the first to examine the spillovers between commodities and Indonesian sectors, recognizing the presence of heterogeneity in the relationship under different market conditions. It provides important portfolio diversification insights for equity investors interested in the Indonesian stock market and policymakers.

This paper aims to elaborate on the optimization of two particular cryptocurrency portfolios in a mean-variance framework. In general, cryptocurrencies can be classified to as coins and tokens where the first can be thought of as a medium of exchange and the latter accounts for security or utility tokens depending upon its design.

Against this backdrop, this empirical study distinguishes, in particular, between pure coin and token portfolios. Both portfolios are optimized by maximizing the Sharpe ratio and, subsequently, compared with alternative portfolio strategies.

The empirical findings demonstrate that the maximum utility portfolio of coins, with a risk aversion of λ = 10, outweighs alternative frameworks. The portfolios optimized by maximizing the Sharpe ratio for both coins and tokens indicate a rather poor performance. Testing the maximized utility for different levels of risk aversion confirms the findings of this empirical study and confers them more robustness.

Further investigation is strongly recommended as tokens represent a new phenomenon in the cryptocurrency universe, for which only a limited amount of data are available, which restricts the sampling. Furthermore, future study is to include more sophisticated optimization models using different constraints in portfolio creation.

In light of the persistently substantial volatility in cryptocurrency markets, the empirical findings assert that portfolio managers are advised to construct a global minimum variance portfolio. In the absence of sophisticated optimization models, private investors can invest according to the market values of cryptocurrencies. Despite minor differences in the risk and reward ratios of the portfolios tested, tokens tend to be more speculative, especially, if the Tether token is excluded, which may require enhanced supervision and investor protection by regulating authorities.

As the current literature investigates on diversification effects of blended cryptocurrency portfolios rather than making an explicit distinction, this paper reflects one of the first to explore the investability and role of diversifying coins and tokens using a classic Markowitz approach.

Portfolio construction and diversification is a prominent challenge for investors. It reflects market agents’ behavior and response to market conditions. This paper aims to investigate the stock-bond nexus in the case of two emerging and two mature markets, India, South Africa, the UK and the USA, using long-term historical monthly data.

To address the issue at hand, copula quantile-on-quantile regression (C-QQR) is used to model the correlation structure. Although this technique is driven by copula-based quantile regression model, it retains more flexibility and delivers more robust and accurate estimates.

Results suggest that there is substantial heterogeneity in the bond-stock returns correlation across the countries under study point to different investors’ behavior in the four markets examined. Additionally, the findings reported herein suggest that using C-QQR in portfolio management can enable the formation of tailored response strategies, adapted to the needs and preferences of investors and traders.

To the best of the authors’ knowledge, no previous study has addressed in a comparative setting the stock-bond nexus for the four countries used here using long-term historical data that cover the periods 1920:08-2017:02, 1910:01-2017:02, 1933:01-2017:02 and 1791:09-2017:02 for India, South Africa, the UK and the USA, respectively.

With the ever-growing turbulent business setting, there is a great interest to study how a firm tailors information technology (IT) capability to shape agility and innovation capability to stay ahead of the competition. This study examines how IT governance and IT capability can be tailored to achieve firm performance through agility and innovative capability in a turbulent environment.

Drawing on the dynamic capability theory, this study based on the primary survey data of 253 responses from senior IT and business executives in China proves the hypothesized relationship in the proposed model.

This study shows that the IT governance mechanism positively impacts on IT-enabled dynamic capabilities. Further, IT-enabled dynamic capabilities positively impact on agility and innovative capability that in turn support to achieve firm performance. The environmental uncertainty is only significant in the IT-enabled dynamic capabilities–business process agility relationship.

This study suggests corporate leaders and executives to better exploit their resources and tailor IT capabilities in the turbulent environment. Further, this study offers theoretical and practical implications.

This study proposes ways for executives to examine the multifaceted nature of environmental uncertainty to achieve agility, innovation and firm performance rather than simply investing in IT.

The study uses the multivariate GARCH-BEKK model (which was first proposed by Baba et al. (1990) and then further developed by Engle and Kroner (1995)) to examine the return and volatility spillover between India and four leading Asian (namely, China, Japan, Singapore and Hong Kong) and two global (namely, the United Kingdom and the United States) equity markets.

The study employs a multivariate GARCH-BEKK model to quantify return correlation and volatility transmission across the pre- and post-2008 global financial crisis periods (apart from other conventional time series modelling like cointegration, Granger causality using vector error correction model (VECM)).

The results show a tendency of the Indian stock market index to move along with the US and Hong Kong market indices. The decrease in the value of the co-integration coefficient during the recession was explained by reduced investor confidence in developing countries. The result further shows a clear distinction in terms of volatility spillover between the Asian market vis-a-vis US and UK markets. Volatility transmission from India to Asian markets was found to be significantly higher as compared to the US and UK. So also, the study’s results show a puzzling result giving us comparable co-integration ranks for phase 2 (expansion) and phase 3 (slow-down) of the business cycle in most cases.

In Granger causality testing, the results were unable to ascertain the difference between phase 2 (expansion) and phase 3 (slowdown). However, the multivariate GARCH (MGARCH)-BEKK model showed a clear reduction in volatility transmission to NIFTY50 (is the flagship index on the National Stock Exchange of India Ltd. (NSE)) as India entered slow-down. This shows that the Indian economy does go through different business cycles, and the changes in parameters hence prove hypothesis 3 to be true with respect to volatility transmission to India from International markets.

The results show that for all countries, the volatility transmitted to India increases significantly going from phase 1 (recession) to phase 2 (expansion) and reduces again once the countries enter slow-down in phase 3 (slowdown). This shows that during expansion shocks and impulses in international markets affect the Indian markets significantly, supporting the increase in co-integration in phase 2 (expansion). During expansion, developing markets like India become profitable for investors, due to the high growth rate when compared to developed countries. This implies that a significant amount of capital enters Indian markets, which is susceptible to the volatility of international markets. The volatility transmission from India to the US and UK was insignificant in phase 1 (recession and recovery) and phase 3 (slow-down) showing a weak linkage between the markets during volatile time periods.

Like investors in stocks and shares who have a portfolio of different kinds of investments, each with special characteristics regarding risk, rate of return, etc., organisations, too, have a portfolio of products or services with varying characteristics. Top management in such organisations has to find a desirable balance among alternative products. Several prescriptive models have been proposed to aid management in the task of product portfolio analysis and selection. The two most important of these are the Boston Consulting Group model and the GE‐McKinsey model, although there are others, amongst which the “Directional Policy Matrix” and “Sheth‐Frazier Margin‐Return Model” are notable examples. Both of the latter models, however, offer little in the way of improvement on the two former models. The GE‐McKinsey model and the Boston Consulting group model are referred to specifically, their limitations noted, and a model proposed which makes up for some limitations in these earlier models.

The rising interconnectedness between international banks, at one end, allow participants to share risk and diversification which leads to stable local lending and increase in competitiveness, however, at the other end poses potential for volatility spillover and thereby contagion phenomena. Therefore, investigating the presence of co-integration amongst international banks can provide useful information about risk spillover in times of financial turbulence

The authors employ wavelet correlation and wavelet multiple cross-correlation strategies, following an initial decomposition of returns series through maximal overlap discrete wavelet transformation (MODWT).

The results indicate high integration level between Citibank and Deutsche Bank whereas potential of diversification exists between pairs of Citibank–Hong Kong and Shanghai Banking Corporation and Bank of America–Deutsche Bank, with former more evident in short- and medium-term relationship and later in long-run investment horizon. This paper carries implications for investors, fund managers and policymakers in foreseeing the prospects of contagion attributable to high level integration levels.

Implications for cross-border banking integration includes the presence of common lender effect which appears as a dominant factor for cross-border contagion. Therefore, banks based in different countries should focus more on funds diversification rather than borrowing much from any single creditor. Furthermore, foreign operations based on subsidiaries instead of relying on direct cross-border lending can help in reducing volatility of the foreign financial resources. Nevertheless, based on the results and significant strand of existing literature, the presence of contagion is inevitable, and therefore, a careful consideration of cross-border banking supervision and co-operation by the financial authorities can help in mitigating the volatility of global capital flows.

First, this study fills gap in the existing literature regarding the discussion on portfolio diversification opportunities in the banking sector. The banking sector is usually perceived as a main source of fixed income securities or financing; however, on the contrary, investors may also be interested for investments in publicly listed bank's stock. Most of the work regarding portfolio diversification revolves around capital market instruments; however, publicly listed shares of largest bank also present an avenue for diversification. Second, major fundamentals and the associated factor for banks performance are reflected in the its profits, either these profits result from large customer base or proper allocation of bank's assets, etc. Therefore, returns of these banks serve as a barometer for their performance and co-movement between any two banks can highlight the presence and extent of their underlying association. Third, the authors apply the latest extensions in wavelet techniques after decomposing returns series through the MODWT framework. This decomposition followed by wavelet estimations allow us to investigate banks integration level across different time and frequency space thereby carrying implications for both short- and long-run investors. Fourth, by analysing the presence of returns co-movements, the authors can predict the extent of plausible contagion since the recent global financial crisis of 2008–2009 used banks as the main medium of propagation of shocks. Fifth, the work presents many implications for the investment community, major trading partners associated with banks through different instruments and for policymakers so that the effect of contagion can be anticipated or at least mitigated in case of future financial turbulence.

Highlights

1. We investigate portfolio diversification opportunities in the banking sector.

2. Time-frequency returns co-movements is measures by applying wavelet multiple correlation and cross-correlation techniques on decomposed return series.

3. Deutsche Bank and Bank of America act as highest transmitter and recipient of volatility, respectively using the spillover approach of Diebold and Yilmaz (2012).

4. Citibank and Deutsche Bank exhibit high pairwise correlation indicating no diversification benefits.

5. Citibank exhibits high level of integration with other banks in the short- and medium-run whereas Deutsche Bank exercises high integration levels in the long-run investment period.

We investigate portfolio diversification opportunities in the banking sector.

Time-frequency returns co-movements is measures by applying wavelet multiple correlation and cross-correlation techniques on decomposed return series.

Deutsche Bank and Bank of America act as highest transmitter and recipient of volatility, respectively using the spillover approach of Diebold and Yilmaz (2012).

Citibank and Deutsche Bank exhibit high pairwise correlation indicating no diversification benefits.

Citibank exhibits high level of integration with other banks in the short- and medium-run whereas Deutsche Bank exercises high integration levels in the long-run investment period.

Extant literature indicates that increased product market diversification generates both positive and negative impact on firm performance. This inconclusive pattern hinders the decision-making of deploying a firm’s resources across different markets. This research aims to embed diversification into a moderation-based framework and demonstrates the conditions under which increased diversification produces either beneficial or harmful effects on firm outcomes. The authors introduce another market configuration dimension, viz., market emphasis, and reveal how changes in diversification and in emphasis yield interactive effects on an important firm performance indicator, idiosyncratic risk. An additional moderator, market turbulence, is also incorporated to further enrich the model in a three-way interaction. Results show that when market turbulence is high, and a firm highly skews its resources to some of its markets, diversifying into more market domains will increase firm idiosyncratic risk. A better choice during increased diversification is to evenly emphasize each of its markets. However, in a market displaying low turbulence, the high diversification-high emphasis pattern may be preferred because of lower firm risk.

To test the hypotheses, the authors collected a comprehensive archival data that contained a large group of public traded US-based manufacturing companies from three different resources. These were the Compustat Annual Database, the Center for Research in Security Prices database and Compustat Business Segment Database. These databases and the combinatorial approach are widely adopted in marketing and management research involving firm strategies and financial outcomes.

When market turbulence is high, simultaneously increasing market diversification and emphasis will more strongly raise firm idiosyncratic risk. However, polarizing into either diversification or emphasis reduces firm risk. When in a low turbulence market, expanding to more product markets and simultaneously emphasizing key markets will decrease idiosyncratic risk. One noticeable fact is that irrespective of whether a firm is in high or low turbulence conditions, choosing a diversification strategy always decreases firm risk when market emphasis is low. However, the impact of this effect however is higher when turbulence is greater. The authors also present the boundary conditions under which the three-way interaction holds.

First, the extension to the utilization of idiosyncratic risk stretches the understanding of effective ways of reducing firm risks from an angle of marketing management. This view of firm risk also contributes to further analysis of shareholder value. Classic corporate asset valuation focuses more on the financial performance indicators as well as the firm’s strategic domains. This research thus provides a unique and meaningful guideline for the corporate valuation approach from the angle of analyzing the firm’s business segment scope and emphasis in the context of the environment.

The idea about how many product markets a firm should enter is always one of the primary decisions that contain significant trade-offs. This makes the managers choice difficult during the decision-making processes. The authors suggest that managers should not only consider the scope of product markets but also think carefully about the resources allocated toward each segment. A matrix with dimensions of diversification and emphasis can be explicitly studied during the strategy formulation. The individual blocks within this matrix may have significant outcome differences.

Previous research focuses on either a firm’s internal assets or external competitive situations when researchers seek the drivers of risk-reduction. This research extends this horizon by adding the interplay between a set of fundamental firm decision areas, diversification and emphasis and the external conditions facing a firm (turbulence).