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This study aims to propose a law enforcement strategy for investment fraud through comparative studies in the United States of America (USA), Canada and Indonesia, and to identify the factors that cause weak law enforcement on investment fraud with the object of a binary options case study in Indonesia.

This research is a type of legal research, namely, research based on legal materials (library-based). The legal materials used include primary legal materials and secondary legal materials. The approaches used are the statute approach, the case approach and the comparative approach. The data collection technique used in this research is a literature study. The analysis was carried out qualitatively by using an interactive model.

In 2022, the Indonesian Financial Services Authority (OJK) recorded that the total value of public losses because of investment fraud in Indonesia reached 117.4tn IDR. Weak law enforcement is the reason investment fraud thrives in society. Strategies that can be implemented to prevent investment fraud include early detection of new investment fraud modes through the whistleblower program, mutual legal assistance in criminal matters, criminal restitution and improvement of public financial literacy.

This study examines the problems of law enforcement against investment fraud with a case study of binary options in Indonesia. A law enforcement strategy is built on identifying issues and adopting law enforcement policies against investment fraud in Canada and the USA.

For individuals, the results of this research can be used as reading material to increase their understanding of investment fraud. For the government, the results of this study can be a reference in an effort to eradicate the rise of investment fraud cases more effectively and create a safe digital economic space for investors.

The results of this study are expected to be useful in providing recommendations for strategies to strengthen law enforcement against the problems of investment fraud cases so as to form a conducive investment climate in the sense of being safe, comfortable and profitable.

Legal frameworks to prevent investment fraud are rarely discussed. The rise in binary options cases that occur is an indication of weak law enforcement in the investment sector. Therefore, an in-depth study of law enforcement strategies to prevent investment fraud is needed, with comparative studies in the USA, Canada and Indonesia.

The depth and breadth of the market for contingent claims, including exotic options, has expanded dramatically. Regulators have expressed concern regarding the risks of exotics to the financial system, due to the difficulty of hedging these instruments. Recent literature focuses on the difficulties in hedging exotic options, e.g., liquidity risk and other violations of the standard Black‐Scholes model. This article provides insight into hedging problems associated with exotic options: 1) hedging in discrete versus continuous time, 2) transaction costs, 3) stochastic volatility, and 4) non‐constant correlation. The author applies simulation analysis of these problems to a variety of exotics, including Asian options, barrier options, look‐back options, and quanto options.

This research applies a static hedging portfolio method derived from Derman, Ergener, and Kani (1995) (henceforth Derman's SHP method) and a new SHP method with European cash-or-nothing binary options developed by Chung, Shih, and Tsai (2013) to price European continuous double barrier (ECDB) options and the rebates of the ECDB options. Our numerical results indicate that the new SHP method outperforms Derman's SHP method in terms of efficiency and effectiveness under all circumstances.

The purpose of this paper is to address the barrier to care experienced by LGBTQIA+ populations by binary language for gender, sexual orientation and relationship status.

The authors review the research that shows linguistic barriers are a significant obstacle to healthcare for LGBTQIA+ communities. The authors describe both a process and revisions for addressing language bias in psychiatric intake/research research materials as well as quantify its impact in an adult psychotherapy clinic in a public hospital.

Patients self-identified their gender, sexual orientation and relationship status in a variety of ways when not presented with binaries and/or pre-established response choices. In addition, the non-response rate to questions decreased and the authors received positive qualitative feedback. The authors also present the revisions to the intake/research materials.

Other healthcare settings/clinicians can revise language in order to remove significant barriers to treatment and in doing so, be welcoming, non-pathologizing and empowering for LGBTQIA+ consumers of mental health services (as well as for non-LGBTQIA+ consumers who are in non-traditional relationships).

This work is one step in improving healthcare and the healthcare experience for LGBTQIA+ communities and for those in non-traditional relationships.

This work is set in a public safety-net hospital providing care for underserved and diverse populations. This paper describes the process of revising psychiatric materials to be more inclusive of the range of self-identity are: gender, sexual orientation and relationship status.

Based on a formalization of the 1981 constitutional negotiation in Canada, this article analyses the impact of procedural constraints on collective decisions. Four procedural constraints are considered: voting procedures, voting rules, decision rules, and the order of presentation of options to the vote. Sincere voting (voting according to a voter's preference scale), complete information, and free communication are assumed in the first part of the analysis. The assumption of sincere voting is relaxed in the second part where strategic voting is considered The analysis shows that (1) a collective decision is determined by some interaction of voters' preferences, procedural constraints, and voting strategies, and (2) procedural constraints can be ordered in terms of their relative impact on the collective decision (in decreasing order: decision rules, voting rules, order of presentation, voting procedures). In the conclusion, a general model of the determination of collective decisions is presented.

Academic researchers love multi‐category answer formats, especially five‐ and seven‐point formats. More than a decade ago Josef Mazanec concluded that these formats may not the best choice, and that simple binary‐answer options are preferable in some empirical survey contexts. The purpose of the present study is to investigate empirically Mazanec's hypothesis in the context of the measurement of evaluative beliefs relating to fast‐food restaurants.

The authors conducted an online experiment that asked respondents to assess evaluative beliefs relating to fast‐food brands using either a forced binary (n=100) or a seven‐point answer format (n=100). The authors also measured preferences for each of the fast‐food restaurants, user friendliness, and recorded the actual completion times for the survey.

The results indicate that the full binary answer format outperforms the popular seven‐point multi‐category format with respect to stability, concurrent validity, and speed of completion.

Given the demonstrated strengths of full binary measures, they should be used more by both practitioners and academics when measuring evaluative beliefs.

This study provides empirical evidence of the strong performance of the forced binary‐answer format for the measurement of evaluative beliefs, and thus challenges current measurement practice among academics and practitioners.

Diffusion studies investigate the propagation of behavior, attitudes, or beliefs across a networked population. Some behavior is binary, e.g., whether or not to install solar panels, while other behavior is continuous, e.g., wastefulness with plastic. Similarly, attitudes and beliefs often allow nuance, but can become practically binary in polarized environments. We argue that this property of behavior and attitudes – whether they are binary or continuous – should critically affect whether a population becomes homogenous in its adoption of that behavior. Models show that only continuous behavior converges across a network. Specifically, binary behavior allows local convergence, as multiple states can be local majorities. Continuous behavior becomes uniform across the network through a logic of communicating vessels. We present a model comparing the diffusion of both types of behavior and report on a laboratory experiment that tests it. In the model, actors have to distribute an investment over two options, while a majority receives information that points to the optimal option and a minority receives misguided information that points toward the other option. We predict that when adjacent persons receive misguided information this can hinder convergence toward optimal investment behavior in small networked groups, especially when subjects cannot split their investment, i.e., binary choice. Results falsify our theoretical predictions: Although investment decisions are significantly negatively affected by local majorities only in the binary condition, this difference with the continuous condition is not itself significant. Binary and continuous behavior therefore achieve comparable incidences of optimal investment in the experiment. The failure of the theoretical predictions appears due to a substantial level of error in decision-making, which prevents local majorities from locking in on a suboptimal behavior.