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Online convex optimization (OCO) is a powerful tool for learning sequential data, making it ideal for high precision control applications where the disturbances are arbitrary and unknown in advance. However, the ability of OCO-based controllers to accurately learn the disturbance while maintaining closed-loop stability relies on having an accurate model of the plant. This paper studies the performance of OCO-based controllers for linear time-invariant (LTI) systems subject to disturbance and model uncertainty. The model uncertainty can cause the closed-loop to become unstable. We provide a sufficient condition for robust stability based on the small gain theorem. This condition is easily incorporated as an on-line constraint in the OCO controller. Finally, we verify via numerical simulations that imposing the robust stability condition on the OCO controller ensures closed-loop stability.

Introduction and Aims: Opioid overdose can be reversed with timely administration of naloxone. In Australia, naloxone was rescheduled from prescription only (S4) to pharmacist only over-the-counter (OTC, S3) in February 2016, increasing access for the general public. A key barrier to naloxone supply by pharmacists is a lack of knowledge, highlighting the role of pharmacist education. Community pharmacists’ education, experience, and training preferences related to naloxone provision, overdose, and substance use disorder were examined. Methods Online survey data from a national sample of Australian pharmacists on their educational preferences regarding naloxone and overdose prevention, and prior training on substance use disorder (n = 595) was analyzed using bivariate and multivariate regression analysis. Data from qualitative semi-structured telephone interviews with pharmacists about OTC naloxone provision (n = 21) was analyzed using thematic analysis. Results Most pharmacists (81%, n = 479) were willing to be trained in opioid overdose prevention, with greater willingness to attend training associated with younger age, being female, fewer years of practice, not having attended previous education on substance use disorder, and higher confidence in issues relating to substance use disorder. Qualitative interviews confirmed community pharmacists’ willingness to attend training but analysis revealed low awareness, knowledge, and confidence about naloxone and preventing opioid overdose. Most pharmacists preferred online training or webinars. Discussion and conclusion Most community pharmacists in Australia are willing to attend training on providing naloxone and preventing opioid overdose. There are opportunities to develop and expand the online presence of training, guidelines, and education materials to facilitate the expanded supply of OTC naloxone.

This study examines whether the abnormal performance of active Australian small-cap equity fund managers is associated with broker recommendations. Our evidence supports the investment value of broker recommendations, showing significant abnormal returns (ARs) both pre- and post-broker recommendations. We find that when a factor-mimicking portfolio based on broker recommendations is added to a Carhart (1997) model, annual alphas are reduced by 48 basis points. Using transaction-level data, buy trades following broker recommendations earn significant cumulative ARs of 1.56 per cent after 60days. Overall, we find that broker recommendations account for an economically significant component of alphas.

This study examines whether the abnormal performance of active Australian small-cap equity fund managers is associated with broker recommendations. Our evidence supports the investment value of broker recommendations, showing significant abnormal returns (ARs) both pre- and post-broker recommendations. We find that when a factor-mimicking portfolio based on broker recommendations is added to a Carhart (1997) model, annual alphas are reduced by 48 basis points. Using transaction-level data, buy trades following broker recommendations earn significant cumulative ARs of 1.56 per cent after 60days. Overall, we find that broker recommendations account for an economically significant component of alphas.

This study examines whether the abnormal performance of active Australian small-cap equity fund managers is associated with broker recommendations. Our evidence supports the investment value of broker recommendations, showing significant abnormal returns (ARs) both pre- and post-broker recommendations. We find that when a factor-mimicking portfolio based on broker recommendations is added to a Carhart (1997) model, annual alphas are reduced by 48 basis points. Using transaction-level data, buy trades following broker recommendations earn significant cumulative ARs of 1.56 per cent after 60days. Overall, we find that broker recommendations account for an economically significant component of alphas.