This paper analyses the informational efficiency of the WTI crude oil markets using a recently proposed quantitative measure for market inefficiency. The procedure measures the extent to which observed oil price behaviour deviates from the Random Walk benchmark which represents an efficient...

This paper investigates the informational efficiency of global crude oil markets using a recently introduced quantitative measure for market inefficiency. The methodology assesses the deviation of observed oil price behavior from the Random Walk benchmark, representing an efficient market. The...

This paper investigates the informational efficiency of green bond markets using a recently introduced quantitative measure for market inefficiency. The methodology assesses the deviation of observed asset price behavior from the Random Walk benchmark, which represents an efficient market. The...

This study investigates how the Global Financial Crisis has affected the weak-form Efficient Market Hypothesis (EMH) on the stock prices of sixteen nations throughout the globe based on a suite of Fourier unit root tests. Considering the smooth structural breaks, we employed the Fourier-based...

This research article provides criticism and arguments why the canonical framework for derivatives pricing is incomplete and why the delta-hedging approach is not appropriate. An argument is put forward, based on the efficient market hypothesis, why a proper risk-adjusted discount rate should...

This study examines the day-of-the-week and January effects on the top performing cryptocurrencies with the highest capitalization during the sample period. The study uses the daily closing returns of selected currencies for 7 August 2015 to 20 August 2020. The day-of-the-week results indicate...

Most financial assets are digital today. Tomorrow, they may be tokenized. Tokenization implies recording and transferring assets on a widely shared and trusted digital ledger that can be programmed. Interest in tokenization is strong and experiments abound, but what are the consequences of this...

The capital markets are sensitive to geopolitical events. It is important to provide evidence of reactions to specific geopolitical events in order to identify general patterns and effective risk management strategies. This study follows the event study approach to assess the reactions of...

Markets are information aggregators. But how do they incorporate new data into their pricing? We examine the response of prediction markets to a novel information shock in a quasi-natural experiment: How did the absence announcements of elite soccer players influence the betting odds of affected...

We argue that capital misallocation arises endogenously due to incomplete consumption insurance. We model risk-averse entrepreneurs with heterogeneous productivity who face idiosyncratic output shocks and choose how much capital to rent before uncertainty unfolds. We show that incomplete markets...

While sports betting markets share similarities with traditional financial markets, they are more accessible for empirical research thanks to availability of high-quality data, straightforward betting procedures, and the finite duration of events. As a result, they are often analyzed for market...

Information is incorporated into stock prices when investors trade; consequently, prices respond only to the information investors pay attention to. Because market efficiency requires rapid information dissemination and fully informative prices, attention necessarily affects the level of market...

This paper explores the impact of bank transparency on market efficiency by comparing banks that disclose supervisory capital requirements to those that remain opaque. Due to the informational content of supervisory capital requirements for the market this opacity might hinder market efficiency....

This paper investigates the relationship among transaction taxes, high-frequency trading (HFT), and market quality. We use the agent-based modeling (ABM) approach to dynamically assess the impact of transaction taxes on market quality with and without high-frequency trading. Preliminary tests...

This paper investigates the speed of price discovery when information becomes publicly available but requires costly processing to become common knowledge. We exploit the unique institutional setting of hacks on decentralized finance (DeFi) protocols. Public blockchain data provides the precise...

This research employs Multifractal Detrended Fluctuation Analysis (MFDFA) to investigate multifractal properties in financial variables, including Bitcoin prices and economic indicators. Spanning 2019-2022, the analysis reveals multifractal scaling not only in Bitcoin prices, but also in...

Heterogeneous beliefs among market participants can lead to questionable speculative trading that goes beyond any risk-sharing motives. We demonstrate that such unwarranted betting behavior in market equilibrium can be mitigated by introducing nonlinear pricing for ambiguous contracts, without...

This paper aims to deliver a comprehensive analysis of the theories and concepts that have formed the foundational link between two separate academic fields: finance and economics, resulting in the emergent field of financial economics. The main schools of thought can be divided, with a...

This study investigates the time evolution of market efficiency in the Japanese stock markets, considering three indices: Tokyo Stock Price Index (TOPIX), Tokyo Stock Exchange Second Section Index, and TOPIX-Small. The Hurst exponent reveals that the Japanese markets are inefficient in their...

This study aims to test the adaptive market hypothesis by using the myopic behavior of investors as a new proxy. The data have been taken from New York Stock Exchange from December 1994 to December 2020. Following this collection of data, the companies’ stock prices were distributed into six...

This study aims to test the adaptive market hypothesis by using the myopic behavior of investors as a new proxy. The data have been taken from New York Stock Exchange from December 1994 to December 2020. Following this collection of data, the companies' stock prices were distributed into six...