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This paper aims to analyze the time-varying dynamic connectedness among environmental, social and governance (ESG)-compliant firms, Fintech-based firms and artificial intelligence (AI) firm’s stocks.

To examine the spillover from globally leading companies that systematically follow ESG reporting and standards into their financial books to top AI-based and Fintech-based companies, we use the daily observation extending from December 31, 2019 to October 9, 2023. For the empirical investigation, Diebold and Yilmaz (2012) model and Baruník and Křehlík (2018) model are employed.

An intriguing observation is found for both recipient and transmission as Northrop Grumman remains the least shock transmitter and receiver among all constituent markets irrespective of two different used models. On this note, Northrop Grumman can be classified among the safest stock comparatively which has to be held in short, medium and long run to mitigate the risk.

After extensive existing literature review and to the best of the authors knowledge, it is a novel study that examines the dynamic connectedness among ESG, Fintech and AI stocks covering two unprecedented events like the COVID-19 outbreak and the Russia–Ukraine invasion.

This paper aims to examine association of money demand with key macroeconomic variables in Pakistan. The paper also investigates the asymmetric effect of real effective exchange rate (REER) on money demand.

The study employs both linear autoregressive distributed lag (ARDL) and non-linear autoregressive distributed lag (NARDL) model. Annual data from 1970 to 2018 is used which is subjected to non-linearity through partial sum concept. Empirical analysis is conducted to prove if money demand is influenced by currency appreciation or depreciation, for long and short run.

Cointegration test indicates existence of a long-run relationship between money demand and its determinants. Results from NARDL model suggest negative relation between money demand and inflation in long and short run. Real income shows positive but a very minimal and insignificant effect on money demand in long and short run. Impact of call money rates is statistically significant and negative on M1 and M2. Wald tests and differing coefficient sign confirm presence of asymmetric relation of REER in long run with M2, whereas in short run we observe a linear, symmetrical relation of REER with M1 and M2. Stability diagnostic tests (CUSUM and CUSUMSQ) verify stability of M2 demand model in Pakistan.

Results signify that role of money demand is imperative as a monetary policy tool and it can be utilized to achieve objective of price stability. Additionally, exchange rate movements should be critically examined by monetary authorities to avoid inflationary pressures resulting from an increase in demand for broad monetary aggregate.

The paper contributes to scarce monetary literature on asymmetrical effects of exchange rate in Pakistan. Impact of variables has been studied through linear approach, but this paper is unique since it attempts to explore non-linear relationships.