Encyclopedia:
From Scholars for Scholars

Stock valuation models can be used to guide the investment decisions of institutions or individuals. In the traditional approach, the investor will use a valuation model to calculate a stock’s intrinsic value as a function of the estimated future cash flows the firm will distribute to its shareholders. The investment decision will hinge on how the estimated intrinsic value compares to the current stock price. This approach is appropriate when the investor has access to the detailed company-specific information required to forecast future cash flows. In an alternative approach, the process is reversed, and stock valuation models can be used to identify the cash flow expectations supporting a firm’s current stock price. Depending on whether or not these expectations are reasonable—in light of current and expected firm-specific, industry, and macroeconomic conditions—the investor can decide whether to buy, sell, or hold the stock. This approach is appropriate for external investors who do not have access to detailed company-specific information. This entry discusses the uses and limitations of the most prominent stock valuation models when used in the traditional framework, and explains how to identify and evaluate the expectations embedded within a current stock price.

This entry presents the history, geography, business, regulations, and the roles of gig workers, platform/algorithms, and employers, focusing primarily on the USA and the EU. The gig economy is informally referred to also as the fourth industrial revolution or the 1099 economy, emphasising sharing, freelance, or platform work; it is a complex and changing business model and regulatory environment. In practice, the gig economy refers to a tripartite relation between workers, platforms/apps, and employers, leading to a two-sided market, where algorithms match supply and demand for paid labour and clients. It is only recently that the gig economy has started to be conceptualised, and its implications, challenges, and impacts are captured in economic law and society, including the power dynamics related to the interplay between economics, technology, regulation, and communities. Conceptually, the gig economy is important, as small paid work has always been present in society for all types of workers and beneficiaries. This new business model of on-demand work has some perceived advantages, such as freedom of work, under-regulation, efficient use of capital, driving down costs, and improving services. However, there is a dualisation of anti-power between workers and non-employers that may lead to precarious work, less free workers, and shadow corporations that distort the market using game changers like digital management algorithms. Currently, the size of the gig economy comprises 154–435 million gig workers out of the world’s 3.63 bn workers, with a market size of USD 557 bn, and is still expanding.