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The authors analyse the nature of nonlinear long-run causal dynamics between VIX futures and exchange-traded products (ETPs).

Nonlinear long-run causal relations between daily price movements in ETPs and futures are established through a Markov switching vector error correction model (MS-VECM).

The authors observe time variation in causality with the volatility of volatility. In particular, demand pressures for VIX ETNs and futures can change in different regimes. The authors observe two regimes where regime 1 is classified as low-mean low-volatility, while regime 2 is classified as high-mean high-volatility. The convergence to the long-run equilibrium in the low-mean low-volatility regime is faster than the high-mean high-volatility regime. The nature of the time varying lead lag relations demonstrates the opportunities for arbitrage.

The linear causal relations between VXX and VIX futures are well established, with leads and lags generally found to be short-lived with arbitrage relations holding. The authors go further to capture the time-varying causal relationships through a Markovian process. The authors establish the nonlinear causal relations between inverse and leveraged products where causal relations are not yet documented.

The authors analyse six actively traded VIX Exchange Traded Products (ETPs) including 1x long, −1x inverse and 2x leveraged products. The authors assess their impact on the VIX Futures index benchmark.

Long-run causal relations between daily price movements in ETPs and futures are established, and the impact of rebalancing activity of leveraged and inverse ETPs evidenced through causal relations in the last 30 min of daily trading.

High frequency lead lag relations are observed, demonstrating opportunities for arbitrage, although these tend to be short-lived and only material in times of market dislocation.

The causal relations between VXX and VIX Futures are well established with leads and lags generally found to be short-lived and arbitrage relations holding. The authors go further to capture 1x long, −1x inverse as well as 2x leveraged ETNs and the corresponding ETFs, to give a broad representation across the ETP market. The authors establish causal relations between inverse and leveraged products where causal relations are not yet documented.

This review investigates the effects of temporal aggregation and systematic sampling on time-series analysis, focusing on their influence on data accuracy, interpretability and statistical properties. The purpose of the study is to synthesise existing literature on the topic and offer insights into the trade-offs between these data reduction techniques.

The research methodology is based on an extensive review of theoretical and empirical studies covering univariate and multivariate time series models, focusing on unit roots, ARIMA, GARCH, cointegration properties and Granger Causality.

The key findings reveal that while temporal aggregation simplifies data by emphasising long-term trends, it can obscure short-term fluctuations, potentially leading to biases in analysis. Similarly, systematic sampling enhances computational efficiency but risks information loss, especially in non-stationary data, and may result in biased samples if sampling intervals coincide with data periodicity. The review highlights the complexities and trade-offs involved in applying these methods, particularly in fields like economic forecasting, climate modelling and financial analysis.

The originality and value of this study lie in its comprehensive synthesis of the impacts of these techniques across various time series properties. It underscores the importance of context-specific applications to preserve data integrity, offering recommendations for best practices in the use of temporal aggregation and systematic sampling in time-series analysis.

We model the relation between excess returns, fund size and industry size for active equity funds.

We study and contrast four markets – global equities, emerging markets, Australia core and Australia small caps – and use the results to investigate the extent to which funds deviate from estimated capacity.

We uncover a significantly negative relation between returns and both fund size and industry size across all markets. The estimated percentage of funds operating above versus below capacity varies both across markets and over time, as does the role played by fund size versus industry size. We find a greater prevalence of funds operating significantly below than above capacity, in contrast to findings for US equity mutual funds. Significant deviations from estimated capacity persist for a median of between two and six quarters.

Our main contribution is to show that the dynamics governing deviations from capacity for active equity funds vary across markets.

When Eugene O'Neill died, theatre critic Brooks Atkinson said of him, “A giant writer has dropped off the earth….He shook up the drama as well as audiences and helped to transform the theatre into an art seriously related to life.” (New York Times, 30 December 1953).

This paper reviews post‐occupancy evaluation (POE) research methods and discusses how these methods can be deployed within the context of a Six Sigma quality framework. The paper outlines the importance of conducting POEs to support the creation and management of optimal spaces for office workers. The authors review a variety of existing POE approaches and discuss their approach to using POEs as part of an ongoing quality framework. The results of a pilot programme using their approach, and application of these POE and quality tools, are discussed in this paper.

The purpose of this paper is to present a model of “environmental control”. Environmental control can be provided through: furnishings and work tools that can be modified or manipulated, choice of time and location of work, organizational policies for flexible work programs, training, and computing and communications technologies that extend control. This paper seeks to propose that enhanced environmental control is related to improved individual, group and organizational performance.

A conceptual model is presented of environmental control coupled with a review and analysis of relevant literature that support the model and identify areas that require further development and research.

The literature review and analysis show support for the model of environmental control. The research reviewed reveals a consistent relationship between workplace capabilities that provide control, and positive behavioral and business performance outcomes for individuals, teams and business units. The review identifies gaps in the empirical support for the model and provides directions for future research.

Ultimately, environmental control is proposed as a means for providing choice about where, when and how to work, which can be used to improve the performance of people and organizations. Thus, environmental control is a crucial capability in which organizations should invest, by optimizing choice through workspace, policies, and technology. By leveraging control as a central component of workplace strategy, organizations may enhance their competitive advantage.

Much of the research described in the paper, and methods employed, are appropriate for exploratory research and theory‐building.

The purpose of this paper is to examine the key causes of and solutions to corruption in Papua New Guinea (PNG) and suggest ways for improving anti-corruption efforts.

This paper comprises a desk-based review of academic literature, policy documents and media.

Fighting corruption in PNG requires an understanding of and response to local political, historic, cultural and economic issues. In particular, anti-corruption actors need to pay attention to: first, the opportunities and threats associated with state politics; second, the structural conditions that cause citizens to support corruption; third, the role of non-state actors in causing corruption; and fourth, ensuring stronger legal responses to corruption that result in prosecutions.

This paper highlights key issues which anti-corruption organisations in PNG should address, examines state and non-state causes of corruption, and provides an updated analysis of key drives and solutions to corruption in PNG.