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The purpose of this study is to develop an investment strategy designed both to enable student‐managed investment fund (SMIF) students to more quickly build out their portfolio at the beginning of the academic year and to give them some exposure to quantitative approaches to investment management.

This study uses data and software that would be readily available to typical SMIF students to develop both an asset‐allocation model and a security‐selection model that can be described as a long‐flat (or synthetic protective put) equity strategy with a momentum‐based style‐rotation overlay.

Over the time period since the requisite style‐based ETFs began trading, the composite strategy would have outperformed the S&P 500 index during both market downturns and market upturns, providing better than market returns at lower than market levels of risk.

The key innovation of this paper is the development of a quantitative investment strategy tailored specifically to meet both the educational and the portfolio management needs of SMIF students; a secondary innovation is the demonstration of the efficacy of a style‐rotation strategy, in contrast to the more typical sector/industry‐rotation type of strategy.

In recent years, student-managed investment funds (SMIFs), experiential learning programs at an increasing number of universities, have attracted significant scholarly interest. In this article, we review the academic literature on this pedagogy.

We use the systematic review method to assess a sample of 85 articles published in 30 journals during the period 1975 to 2020.

Our literature review reveals four streams of research: best practices and challenges, investment management, innovation and trends and SMIFs in a research setting. We also propose future research directions, including specific gaps in the literature, a focus on innovations to traditional programs, systematic investment performance and expansion into behavioral finance issues.

We contribute a comprehensive view of the body of scholarship on SMIFs, identifying existing streams of research and future research directions that will help guide the development of SMIF research into a cohesive and productive space.

The treatment of marketing expenditures will influence how the firm makes decisions. This paper discusses the relationship between the firm's marketing effort and the firm's marketing investment. Current practice in most companies dictates that marketing costs are treated as expenses and this leads to marketing executives lacking the required information for effective decision making. Often the wrong pressures are placed on the marketing function resulting in poor marketing decisions and consequently affecting the financial performance of the firm.

Seeks to examine risk assessment of human settlements due to seismo‐tectonic setting of a populated area in the Himalayas, so that mitigation measures may be taken before the next earthquake takes its toll.

Keeping in view the seismic vulnerability of the Himalayan ranges, an earthquake scenario is considered for the Narendranagar block of Tehri Garhwal District which lies in Seismic Zone IV of the seismic zoning map of India (BIS, 1893‐2002). Damage of MSK Intensity VIII and peak accelerations of 0.25 g are expected here at any time. The hypothetical epicenter is placed near Tapowan at 30°08′10″N and 78° 20′30″E on the crest of the meandering River Ganga, where three large thrusts, viz. Garhwal, Tons Nayar and Krol, congregate. Iso‐acceleration contours plotted for the entire Narendranagar block for earthquakes of magnitude 7.0 and 7.5 are elongated along the main boundary fault.

Almost 59 percent population of the Narendranagar block was found to be vulnerable to damage associated with higher accelerations of 0.41 g.

The topographic effects influencing the risk of settlements have not been taken into account.

Implications of such an earthquake on housing stock; roads; infrastructure; awareness and time of occurrence are discussed. Strategies are suggested for long‐term earthquake preparedness and short‐term action plan for emergency management.

The methodology evolved can be extended for other Himalayan regions.

Looks at the marketing of five Kraft Italia food products: Splendid, Sottilette, Milka, Hag and Philadelphia in Italy. Examines the changes in consumption rate and how marketing strategies for these products have developed. States that the lessons to be learned from these case studies could help encourage the development of effective marketing of other brands in Italy.

In order to optimize BER and to substantiate performance measures, initially, the filter bank multicarrier (FBMC) quadrature amplitude modulation (QAM) performance metrics are evaluated with the cyclic prefix-orthogonal frequency division multiplexing (CP-OFDM) system. The efficiency of CP-OFDM, as well as FBMC/QAM that is transmitting over specific fading channels, is evaluated in terms of quality trade-off metrics over bit error rate (BER) as well as modulation order. When compared with the traditional FBMC systems, the proposed FBMC QAM system shows better performance. The performance metrics of FBMC/QAM with the inclusion of multiuser multiple-input-multiple-output (MUMIMO) is validated with worst case channel environment. The performance penalty gap that exists in CP- OFDM is compared with improved FBMC QAM in terms of both BER and OOB radiation measures. The BER trade off comparison between ML and MMSE optimally determine the prominent signal detection model for high performance FBMC QAM system.

The main objective of this research work is to provide perceptions about performance, co-channel interference avoidance as well as about the techniques that are used for minimizing the complexity of the system that is related to FBMC QAM structure for reducing intrinsic interference with higher spectral features as well as maximal likelihood (ML) detector systems.

This research work also looks at the efficiency of multiuser multiple-input-multiple-output (MU-MIMO) FBMC/QAM over nonlinear channels. Furthermore, when compared with OFDM, it also significantly reduces the penalty gap efficiency, thereby enabling the accessibility of the proposed FBMC QAM system from BER as well as implementation point of view. Finally, the signal detection is facilitated by the sub-detector and is achieved on the downlink side by making use of threshold-driven statistical measures that accurately minimize the complexity trade-off measures of the ML detector over modulation order. The computation of the proposed FBMC method’s BER performance measures was carried out through MATLAB simulation environments, as well as efficiency of the suggested work was demonstrated through detailed analyses.

This research work intend to combine the efficient MU-MIMO based transmission scheme with optimal FBMC/QAM for improved QoS over highly nonlinear channels which includes both delay spread and Doppler effects. And optimal signal detection model is facilitated at the downlink side by making use of threshold-driven statistical measures that accurately minimize the complexity trade-off measures of the ML detector over modulation order. The computation of the proposed FBMC method’s BER performance measures was carried out through MATLAB simulation environments, as well as efficiency of the suggested work was demonstrated through detailed analyses.

This study examines fisheries affected by the Great East Japan Earthquake and Tsunami in 2011 to explore how the collectivism appears during the recovery process.

The author questions the context of collaboration after the disaster among independent small-scale fishers in Miyagi by conducting semistructured interviews with more than 50 local fishers with anthropological observations of boat fishing operations and using local documents and statistics.

The corresponding collaboration among the fishers after the disaster is not a mere “disaster utopia,” but is embedded in the socioecological context of fishing. Fishers have developed individual and group fishing. They have institutionalized competitive distribution for sedentary fish with low resource fluctuation, while outcome-equal distribution is adopted for migratory fish with high resource fluctuation. This forms a fishing continuum that connects competitive individualism with collectivism in the community, which has contributed to resilience for disaster recovery.

The balance between individualism and collectivism is decisively coordinated in socioecological contexts. The multifaceted resource strategy for maritime biodiversity that features family-based occupational differentiation in a community is crucial for disaster recovery of small-scale fishers.

The power transformer is one of the most important pieces of equipment in a power system. The necessity for the optimum design of a power transformer arises because the design chosen should satisfy all the limitations and restrictions placed on it. This paper presents an improved fast evolutionary programming (IFEP) technique for the optimal design of a three‐phase power transformer.

The optimization of the transformer design problem is formulated as an NLP problem, expressing the objective and constraint functions in terms of the selected independent variables. Here the cost of the transformer is considered as the objective function and is the sum of material cost of stampings and copper windings, cost of cooling tube arrangements, cost of cooling medium, insulation cost and labour cost. A computer program is written from which the optimal design parameters are obtained. For optimization, the classical evolutionary programming (CEP) technique and its variant the IFEP technique are used and the results are compared.

The application of CEP and IFEP for transformer design has been demonstrated on two test cases. It has been observed that this IFEP outperforms the CEP in obtaining the optimum design of transformers of smaller as well as larger ratings in terms of execution time, convergence rate, quality and success rate.

The proposed method results in the economical design of a three‐phase power transformer which can significantly reduce the cost of manufacturing transformers.

Particle swarm optimization (PSO) has been applied with success to many numerical and combinatorial optimization problems in recent years. However, a great deal of work remains to be done to improve the particle swarm performance. The purpose of this paper is to present a new adaptive PSO approach to overcome convergence drawbacks. Thus, the updating of the particle position rule and the introduction of new acceleration parameter augment the performance of the proposed model developed in this perspective.

In the studied picture, each particle defined in a multidimensional search space is represented by a vector of three adaptive parameters representing, respectively, the adaptive cognitive factor, the adaptive social factor, and the bi‐acceleration factor. Therefore, to updating its position rule, the authors add a gaussian noise to each updated velocity in order to increase the diversity in the population swarm.

The simulation experiments uses the CEC, 2005 functions benchmark. The achieved results show that the proposed model improves the existing performance of other algorithms compared to the same benchmark.

The proposed algorithm improves the performance of the PSO based on the self‐adaptation strategy. Thus, it can actually resolve hard functions which introduces noisy and shifted functions.

This article seeks to discuss three key issues raised by the recent financial crisis: the rise of “activist states”; a new focus on the geopolitical effects of finance; and possible future social implications of the rapid response to crisis.

The paper provides an analytical overview of three of the implications of the current crisis, and introduces the idea of the “activist state” in financial markets.

The article focuses on three issues raised in connection with the recent crisis: the rapid rise of “activist states” as a result of impaired liquidity; the bringing to light of long‐neglected geopolitical spaces of finance; and the opportunities for improved social aims communication and lobbying which result from future analyses of responses to the crisis.

The article's focus is on the interface between finance and politics. The article introduces the idea of a financial “activist state” as a public entity which behaves like an activist shareholder in the market. The article also suggests that the political and banking reaction to the current crisis can be seen in terms of opportunities to improve communication of social, political and policy aims in the future.