Prediction Market Shifts Focus to Public Investment The blockchain-based prediction market is experiencing explosive growth. Its monthly trading volume has exceeded $25.7 billion (approximately 35 trillion Korean Won), with individual investors (retail investors) driving this growth. Once considered the exclusive domain of experts and institutional investors, this market is now actively opening up to the general public, establishing itself as a new investment trend. Prediction markets operate on a structure where participants forecast the outcome of specific events and generate profits through corresponding rewards. Users participate by receiving rewards if their predictions are correct. The recent activation of this market is attributed to a combination of three key factors: ease of access, low barriers to entry, and the provision of diverse betting opportunities utilizing social, economic, and political events. The greatest appeal of prediction markets is the potential for high returns. This is a factor difficult to achieve in most traditional investment products, making it attractive to individual investors. Retail investors are using prediction markets either to pursue high returns that are hard to find in conventional investment products or as a means to test their knowledge and analytical skills. Specifically, the ability to bet on political and social issues has the effect of broadening individual interests and participation. Information is rapidly shared through social media platforms, and the market is showing a trend of increased activity alongside the exchange of opinions among investors. Analysis suggests that information sharing and community activation through social media are further encouraging the participation of individual investors. It is observed that individuals seeking to prove their accurate prediction abilities through data and expand their social influence are becoming more deeply involved in the market. These prediction markets are recognized for their potential as new financial instruments due to their information-intensive and analytical characteristics. However, not everything appears to be positive. The remarkable growth of prediction markets has simultaneously brought forth issues of regulation and ethical controversy. Particularly in the United States, efforts to regulate prediction markets are accelerating. Concerns about potential political insider trading are being raised, with the U.S. Senate, for example, moving to completely ban prediction market betting by members of Congress and their staff. This illustrates one facet of the ethical and legal challenges facing prediction markets. Growth Requiring Regulation? Spreading Ethical Controversies The possibility of political insider trading raises fundamental questions about the fairness of prediction markets. If individuals involved in policy decisions can bet on their outcomes, the market's transparency and trustworthiness could be severely undermined. This reveals a structural problem where prediction market investors might not be able to participate in a fair competitive environment. Concerns are being raised that without proper risk management, the market could lead to speculative overheating, manipulation, and even larger financial crimes. Prediction markets face challenges such as encouraging speculation, potential market manipulation, and risks due to insufficient regulation. Contrary to prediction markets' claim of ensuring information transparency, there is a risk that without a complete regulatory framework, the market could devolve into a structure where only a few investors profit while the majority incur losses. Information asymmetry within prediction markets is also cited as a serious problem. The possibility of illegal trading using inside information has been an ongoing issue in traditional finance, and if separate measures are not put in place to address this in prediction markets, their competitiveness and transparency could rapidly decline. It is pointed out that for prediction markets to establish themselves as future financial instruments, regulation and transparency are paramount. Rather than simply understanding them as tools differentiated from securities investment, the lessons learned from existing financial markets should be applied. Specifically, for prediction markets to evolve from mere speculative tools into information-intensive financial instruments, a clear legal framework and investor protection mechanisms must be established. Meanwhile, the growth potential of prediction markets is gaining attention, particularly among younger generations familiar with digital financial products. Among investors already active in blockchain-based virtual asset investments, prediction markets are being recognized as another investment alternative. As demand for diversifying investment portfolios grows amidst interest rate fluctuations and economic uncertainty, prediction markets are emerging as one of tho
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