The work of the artist and writer Gerald Nestler explores finance and its social implications since the mid-1990s. Based on his professional experience as a trader as well as on post-disciplinary research, he has developed a unique approach that brings together theory and conversation with installation, video, performance, text, and other art forms. Probing into the narrative structures of contemporary capitalism, Nestler offers a techno-political critique directly from the core of the financial markets. This interview addresses his reading of the derivative as a world-producing apparatus that shapes the experience of the present by preconfiguring the future, and that provokes a shift from representational to performative speech in the actualization of biopower based on the exploitation of volatility and leverage. In conversation with Christian Kloeckner and Stefanie Mueller, he argues for the formation of specific human/non-human alliances that directly attack algorithmic as well as socio-economic black-boxing (schemes that monopolize inherently non-scarce resources), so as to open our imagination to skills and tactics that would allow us to navigate the rich but volatile flows of social, political, and economic abundance.

This essay explores the meaning that volatility assumes in the Chinese stock market context. Drawing on discussions from ‘mom and pop’ online forums, it argues investors operate in a relational position with the Chinese state regulators that both sustain and threaten their market activities. Chinese stock markets are known to be the most volatile in the world. To face the state's arbitrary intervention in the market, investors must constantly juggle the options of either leaning on and trusting the regulators’ capacity to protect and rescue their stocks or engaging in risky margin trading and short-selling activities. This contradictory behavior is reflected in the popular self-mocking meme that keeps circulating in investors online forums, the one of the jiucai (meaning ‘garlic chives’). The investors often use it with irony to describe their own tendency to throw cash into the markets again and again, hoping to regain the money they lost in previous investments, never learning a lesson. Linking the financial with the biopolitical dimension, the essay takes the jiucai meme to show the extent to which volatility points to the production of new subjects whose resilience involves the adoption of practices of speculation to conjure a future for themselves that is reborn multiple times.

The term ‘volatility’ applies to changeability: both that which can be measured, such as temperatures and stock prices, and that which cannot be easily measured, such as affects and emotions. Quantitative financial volatility has typically been studied quite separately from art, culture, and everyday life. Randy Martin's work, which addressed the resonances between volatility in dance and finance, was a notable exception. Martin focused on derivatives, which played a critical role in the development of financialized capitalism, especially between 1973-2008. Arguably, however, derivatives are no longer the key drivers of volatility as a social and cultural logic. New assemblages of asset managers, rentiers, and online platforms - along with a pandemic, new banking crises, and ongoing climate emergency - are reshaping how volatility is produced and navigated. How might we rethink volatility in order to better grasp its changing logics? This introduction unpacks existing debates on volatility in finance, art, and culture, suggesting several directions in which new work in this area might depart from existing frameworks - some of which are pursued in this special issue. We focus on three broad lines of exploration: rethinking the intellectual histories of volatility; rethinking volatility across disparate post-2008 contexts; and imagining volatile futures through art practice.

This article explores the quantitative and qualitative dimensions of volatility and their implications for cultural analysis in a range of fields. From quantitative finance, it takes the notion of ‘delta-hedging’, the suspension or neutralization of directionality to get access to volatility, and applies this to qualitative areas such as surfing, dance, cinema, and language.

This article argues that there are parallels between developments in modern science and in art and culture, including the culture of finance, and that these developments can be tracked by a notion of volatility not just as change, but as how change itself has changed. Describing this paradigm shift requires a language that is precise but indeterminate, a language akin to metaphor, understood as figures of volatility. Three such figures are anamorphosis, anachronism, and catachresis. These figures are major instantiations of volatility, though they do not exhaust all the possibilities. What they indicate is not just that our frames of understanding have shifted, but that we are dealing with problematic, multiple, and overlapping frames: anamorphosis problematizes our experience of space, anachronism of time, and catachresis of language. These figures are not all in play at the same time. In literature, catachresis may be the dominant figure; in dance, anamorphosis; in ‘slow cinema’, anachronism. The aim is less to arrive at a set of defining characteristics than to follow a series of transformations across different cultural fields. Almost every field in our time is volatile each in its own way, and this has consequences for methodology. If figures are tools to think with, not to regulate thought, a necessary method would be to allow these figures to emerge from the material, not from a checklist. The question of volatility is arguably the key intellectual challenge of our time because it allows us to see deviation from a norm not just as an aberration, but as an indication that established norms are losing their normative value.

Damage to non–dicamba resistant (non-DR) soybean [Glycine max (L.) Merr.] has been frequent in geographies where dicamba-resistant (DR) soybean and cotton (Gossypium hirsutum L.) have been grown and sprayed with the herbicide in recent years. Off-target movement field trials were conducted in northwest Arkansas to determine the relationship between dicamba concentration in the air and the extent of symptomology on non-DR soybean. Additionally, the frequency and concentration of dicamba in air samples at two locations in eastern Arkansas and environmental conditions that impacted the detection of the herbicide in air samples were evaluated. Treatment applications included dicamba at 560 g ae ha−1 (1X rate), glyphosate at 860 g ae ha−1, and particle drift retardant at 1% v/v applied to 0.37-ha fields with varying degrees of vegetation. The relationship between dicamba concentration in air samples and non-DR soybean response to the herbicide was more predictive with visible injury (generalized R 2 = 0.82) than height reduction (generalized R 2 = 0.43). The predicted dicamba air concentration resulting in 10% injury to soybean was 1.60 ng m−3 d−1 for a single exposure. The predicted concentration from a single exposure to dicamba resulting in a 10% height reduction was 3.78 ng m−3 d−1. Dicamba was frequently detected in eastern Arkansas, and daily detections above 1.60 ng m−3 occurred 17 times in the period sampled. The maximum concentration of dicamba recorded was 7.96 ng m−3 d−1, while dicamba concentrations at Marianna and Keiser, AR, were ≥1 ng m−3 d−1 in six samples collected in 2020 and 22 samples in 2021. Dicamba was detected consistently in air samples collected, indicating high usage in the region and the potential for soybean damage over an extended period. More research is needed to quantify the plant absorption rate of volatile dicamba and to evaluate the impact of multiple exposures of gaseous dicamba on non-targeted plant species.

Political participation and party attachment in Western democracies have become more and more volatile. In turn, political campaigns seem increasingly dependent on short-term discursive windows of opportunity opened by dynamic debates on issues such as migration, climate, employment and economic policies. Based on panel data from nine European countries, we investigate how patterns and changes in the materialist and postmaterialist concerns of respondents affect electoral turnout and party switching. By relating these variables, we aim to uncover whether and to what extent underlying concerns – and thus short-term politicization – account for short-term patterns of electoral volatility. We pay special attention to young respondents, who are often framed as being particularly dynamic and less bound to traditional political loyalties. Our findings offer insights into short-term change in discursive opportunities for political mobilization and broader democratic engagement.

Auxinic herbicides have been commonly used in production systems for broadleaf weed control for many years. One potential negative aspect to their use is their propensity to volatilize and move away from the treated area after application. This research examined three herbicide formulations and their relative amounts of vaporization following application under field conditions in Knoxville, TN, in 2017, 2018, and 2019. Herbicide treatments evaluated included 2,4-D choline, 2,4-D amine, and the diglycolamine (DGA) salt of dicamba. Ten field studies were conducted with major parameters including air sampler height (0.3 and 1.3 m) and applied surface condition (dry wheat stubble or green-plant vegetation). The relative volatility indicated by the study was that dicamba > 2,4-D choline = 2,4-D amine. Detected herbicide concentrations were numerically higher at the 0.3-m sampling height and in the green-plant surface condition. These results confirm that dicamba is more volatile than 2,4-D and that there was no difference in vapor emissions between the amine and choline salts of 2,4-D under field conditions.

Dicamba is a synthetic auxin herbicide that may be applied over the top of transgenic dicamba-tolerant crops. The increasing prevalence of herbicide-resistant weeds has resulted in increased reliance on dicamba-based herbicides in soybean production systems. Because of the high volatility of dicamba it is prone to off-target movement, and therefore concern exists regarding its drift onto nearby specialty crops. The present study evaluates 12 mid-Atlantic vegetable crops species for sensitivity to sublethal rates of dicamba. Soybean, snap bean, lima bean, tomato, eggplant, bell pepper, cucumber, summer squash, watermelon, pumpkin, sweet basil, lettuce, and kale were grown in a greenhouse and exposed to dicamba at 0, 0.056, 0.11, 0.28, 0.56, 1.12, 2.24 g ae ha−1, which is, respectively, 0, 1/10,000, 1/5,000, 1/2,000, 1/1,000, 1/500, and 1/250 of the maximum recommended label rate for soybean application (560 g ae ha−1). Vegetable crop injury was evaluated 4 wk after treatment using visual rating methods and leaf deformation index measurements. Overall, snap bean was the most sensitive crop, with dicamba rates as low as 0.11 g ae ha−1 resulting in significantly higher leaf deformation levels compared with the nontreated control. Other Fabaceae and Solanaceae species also demonstrated high sensitivity to sublethal rates of dicamba with rates ranging 0.28 to 0.56 g ae ha−1 causing higher leaf deformation compared with the nontreated control. While cucumber, pumpkin, and summer squash were no or moderately sensitive to dicamba, watermelon showed greater sensitivity with unique symptoms at rates as low as 0.056 g ae ha−1 based on visual evaluation. Within the range of tested dicamba rates, sweet basil, lettuce, and kale demonstrated tolerance to dicamba with no injury observed at the maximum rate of 2.24 g ae ha−1.

The feeder cattle futures contract has been criticized in recent years as not providing an effective hedging instrument. Following historically volatile cattle markets in 2014–2015, feeder cattle basis risk escalated, fueling futures contract concerns. This study assesses these concerns, utilizing weekly auction data from 32 feeder cattle markets from 1992 to 2021. Examined for the first known time, feeder cattle market variation had a statistically and economically significant influence on basis risk. Basis variation differed across regions and marketing periods. Feeder cattle basis risk was historically high in 2014–2015 but declined to levels similar to 2011 by 2018.

We study finite maturity American-style stock loans under a two-state regime-switching economy. We present a thorough semi-analytic discussion of the optimal redeeming prices, the values and the fair service fees of the stock loans, under the assumption that the volatility of the underlying is in a state of uncertainty. Numerical experiments are carried out to show the effects of the volatility regimes and other loan parameters.