This article argues that the temporality of the financial economy ought to be seen as radically synchronistic. ‘Synchronism’ refers to both an epistemological and practical approach that addresses finance neither with a view to the past nor to the future, but is instead focused on the moment that a financial transaction is settled (i.e., the horizon of trading). From this perspective, the article expands the scope of current social theorizing on financial markets, which is characterized by a preoccupation with the futurity of financial markets and products. It suggests that financial synchronism can be traced back to certain developments in economic theory since the so-called ‘marginalist revolution’, which enabled the transfer of a certain optics informing market theories into financial practices. On these terms, financial synchronism is interpreted as a powerful social imaginary that crucially mediates the way contemporary societies face the contingency of the future.

This article presents a close, dialogue-based ethnographic account of a group of contemporary options market makers making a decision about pricing options in Tesla, Inc. Careful attention to their deliberations reveals how the rise of algorithms and automation on financial markets have rendered traders alienated and estranged from the markets they work on for their livelihood. This alienation arises, in part, due to novel cascade effects between futures and underlying equities, which algorithmic and automated trading seems to afford, and which also relate to news events as well as the actions of politicians and prominent business people. Emerging from this alienation, traders produce a critique of how highly automated financial markets allocate capital and how ripe they are for political manipulation.

Trading is a cornerstone of economic exchange and can take many different forms. In simple trades, one item is often exchanged for another; but in more complex trades, agents can trade different numbers of items, reflecting the differing value of the items being traded. Though young children regularly engage in simple trades, we examine whether they understand a key element involved in more complex trades—the idea that people may subjectively value the same item differently and accept trades that numerically disadvantage themselves in the service of acquiring more of a preferred item. To do so, we ran three studies with 5- to 10-year-old children (N = 314) in which they were asked to predict whether a third party would accept or reject different types of trades. Results revealed that children across this age range predict that a third party will accept a numerically disadvantageous trade when they prefer one resource over another, but not when they have an equal preference for both resources. Importantly, their predictions were not merely a reflection of what they thought was fair, but rather what was in the best interest of the third party—they thought a third party would be more likely to accept an “unfair” trade that benefitted himself rather than someone else. We discuss our findings in terms of what they reveal about children’s early economic intuitions.

Ambergris is a rare substance produced in the intestines of sperm whales. It appears to result from an irritation caused by the beaks of the cephalopods on which they feed. The link between ambergris and whales, if not the mechanism by which ambergris is produced, has been addressed throughout history but, due to contradictory reports and fanciful explanations regarding its origin, only recently has it been widely accepted. Since ancient times ambergris has been used for medicinal purposes and in perfumes, but its supposed exotic properties are an important reason for the European demand for this substance. Accounts about ambergris from places where Europeans sailed since the 15th century are numerous. In the 16th and 17th centuries there were no laws dictating who owned the ambergris found on beaches and many pieces were sold or traded, legally or illegally, from overseas to Europe. However, this product was always obtained in relatively small quantities. More recently, with the advent of industrial whaling dedicated to sperm whaling conducted by several nations in various parts of the world during the 19th and 20th centuries, ambergris acquired an importance of its own and was sold at very high prices. In the Azores, ambergris from hunted sperm whales was documented; the same applies for Madeira and the Portuguese mainland. Being a product typically reported in whaling data and related to the economic exploitation of the sea, it is through the historical sources that its importance is clearly demonstrated.

Pairs trading is a trading strategy which is used very frequently in the financial industry. An investment opportunity arises when the spread between two assets, which historically have exhibited autoregressive behavior, deviates from its recent history. In this case, the investor takes a long position in the asset which is expected to outperform going forward and finances this by taking a short position in the other one. If the spread converges, the investor can close both positions to generate a profit. We model the spread between two assets as an Ornstein-Uhlenbeck process and assume a constant opportunity cost. We then study the optimal liquidation strategy for an investor who wants to optimize profit in excess of the opportunity cost. Including this cost is important from an applied perspective, as the performance of any investment is always evaluated relative to the performance of the opportunity set.

There is an extensive academic literature that documents that stocks which have performed well in the past often continue to perform well over some holding period - so-called momentum. We study the optimal timing for an asset sale for an agent with a long position in a momentum trade. The asset price is modelled as a geometric Brownian motion with a drift that initially exceeds the discount rate, but with the opposite relation after an unobservable and exponentially distributed time. The problem of optimal selling of the asset is then formulated as an optimal stopping problem under incomplete information. Based on the observations of the asset, the agent wants to detect the unobservable change point as accurately as possible. Using filtering techniques and stochastic analysis, we reduce the problem to a one-dimensional optimal stopping problem, which we solve explicitly. We also show that the optimal boundary at which the investor should liquidate the trade depends monotonically on the model parameters.

Dactylopius coccus has been used in Mexico and Peru as a source of natural dyes since pre-Columbian times. A phylogenetic analysis of the genus Dactylopius, and the disjoint distribution of D. coccus, suggest that the origin of D. coccus is South America and was introduced into North America by sea routes.