Search Results - "Mehta, Chhavi"

Is bitcoin a diversifier, hedge or safe haven for traditional and alternate asset classes? by Chopra, Monika, Mehta, Chhavi

“…Given the skyrocketing returns earned by bitcoin, it has received widespread attention as an investment asset. The shocks experienced by stock and bond markets…”
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The Curious Case of Vodafone Idea Merger: Is It a Saga of Turbulence or a Move Towards Potence? by Mehta, Chhavi, Chopra, Monika, Dhamija, Sanjay

“…In January 2017, Vittorio Colao, the Vodafone Group CEO, and Kumar Mangalam Birla, the chairman of the Aditya Birla Group, announced a merger to form Vodafone…”
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Inflation-Linked Bonds as a Separate Asset Class: Evidence from Emerging and Developed Markets by Chopra, Monika, Mehta, Chhavi, Srivastava, Aman

“…One of the key goals of strategic asset allocation is protection against inflation. High inflation eats up real returns, causing a damaging effect on a…”
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Going green: Do green bonds act as a hedge and safe haven for stock sector risk? by Chopra, Monika, Mehta, Chhavi

“…•The hedging and safe haven benefits of green bonds in an equity portfolio in eleven stock sectors in the USA considering the environmental disclosure score is…”
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Is the COVID-19 pandemic more contagious for the Asian stock markets? A comparison with the Asian financial, the US subprime and the Eurozone debt crisis by Chopra, Monika, Mehta, Chhavi

“…The ongoing COVID-19 pandemic has sent shock waves across the global stock markets. Several financial crises in the past too have had a global impact with…”
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Analysing the Likelihood of and Market Reaction to Reverse Stock Splits in India by Nayyar, Reena, Dhamija, Sanjay, Mehta, Chhavi

“…The study analysed the factors that motivated Indian companies to pursue reverse stock splits strategy. The article also aimed at examining the market reaction…”
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Does the big boss of coins—Bitcoin—protect a portfolio of new-generation cryptos? Evidence from memecoins, stablecoins, NFTs and DeFi by Chopra, Monika, Mehta, Chhavi, Lal, Prerna, Srivastava, Aman

“…PurposeThe purpose of this research is to primarily understand how crypto traders can use the Bitcoin as a hedge or safe haven asset to reduce their losses…”
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Digital Connectivity: The Sixth Vital Sign by Klonoff, David C., Shang, Trisha, Zhang, Jennifer Y., Cengiz, Eda, Mehta, Chhavi, Kerr, David

“…Digital health and telehealth connectivity have become important aspects of clinical care. Connected devices, including continuous glucose monitors and…”
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Pharmacoadherence: An Opportunity for Digital Health to Inform the Third Dimension of Pharmacotherapy for Diabetes by Klonoff, David C., Zhang, Jennifer Y., Shang, Trisha, Mehta, Chhavi, Kerr, David

“…The basis of pharmacotherapy requires knowledge of two properties of a drug: pharmacokinetics (PK) and pharmacodynamics (PD). In the era of precision medicine,…”
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Antioxidant-Induced Pseudohyperglycemia Due to Interference of Measurements by Blood Glucose Monitors by Xu, Nicole Y., Nguyen, Kevin T., Mehta, Chhavi, Klonoff, David C.

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Trimetazidine Blocks Lipid Oxidation—Should it be Repurposed for Prevention and Treatment of Diabetic Ketoacidosis? by Klonoff, David C., Xu, Nicole Y., Nguyen, Kevin T., Kerr, David, Mehta, Chhavi, Umpierrez, Guillermo E., Brooks, George A.

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The Diabetes Technology Society Error Grid and Trend Accuracy Matrix for Glucose Monitors by Klonoff, David C., Freckmann, Guido, Pleus, Stefan, Kovatchev, Boris P., Kerr, David, Tse, Chui (Cindy), Li, Chengdong, Agus, Michael S. D., Dungan, Kathleen, Voglová Hagerf, Barbora, Krouwer, Jan S., Lee, Wei-An (Andy), Misra, Shivani, Rhee, Sang Youl, Sabharwal, Ashutosh, Seley, Jane Jeffrie, Shah, Viral N., Tran, Nam K., Waki, Kayo, Worth, Chris, Tian, Tiffany, Aaron, Rachel E., Rutledge, Keetan, Ho, Cindy N., Ayers, Alessandra T., Adler, Amanda, Ahn, David T., Aktürk, Halis Kaan, Al-Sofiani, Mohammed E., Bailey, Timothy S., Baker, Matt, Bally, Lia, Bannuru, Raveendhara R., Bauer, Elizabeth M., Bee, Yong Mong, Blanchette, Julia E., Cengiz, Eda, Chase, James Geoffrey, Y. Chen, Kong, Cherñavvsky, Daniel, Clements, Mark, Cote, Gerard L., Dhatariya, Ketan K., Drincic, Andjela, Ejskjaer, Niels, Espinoza, Juan, Fabris, Chiara, Fleming, G. Alexander, Gabbay, Monica A. L., Galindo, Rodolfo J., Gómez-Medina, Ana María, Heinemann, Lutz, Hermanns, Norbert, Hoang, Thanh, Hussain, Sufyan, Jacobs, Peter G., Jendle, Johan, Joshi, Shashank R., Koliwad, Suneil K., Lal, Rayhan A., Leiter, Lawrence A., Lind, Marcus, Mader, Julia K., Maran, Alberto, Masharani, Umesh, Mathioudakis, Nestoras, McShane, Michael, Mehta, Chhavi, Moon, Sun-Joon, Nichols, James H., O’Neal, David N., Pasquel, Francisco J., Peters, Anne L., Pfützner, Andreas, Pop-Busui, Rodica, Ranjitkar, Pratistha, Rhee, Connie M., Sacks, David B., Schmidt, Signe, Schwaighofer, Simon M., Sheng, Bin, Simonson, Gregg D., Sode, Koji, Spanakis, Elias K., Spartano, Nicole L., Umpierrez, Guillermo E., Vareth, Maryam, Vesper, Hubert W., Wang, Jing, Wright, Eugene, Wu, Alan H.B., Yeshiwas, Sewagegn, Zilbermint, Mihail, Kohn, Michael A.

“…Introduction: An error grid compares measured versus reference glucose concentrations to assign clinical risk values to observed errors. Widely used error…”
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The Diabetes Technology Society Error Grid and Trend Accuracy Matrix for Glucose Monitors by Klonoff, David C, Freckmann, Guido, Pleus, Stefan, Kovatchev, Boris P, Kerr, David, Tse, Chui Cindy, Li, Chengdong, Agus, Michael S D, Dungan, Kathleen, Voglová Hagerf, Barbora, Krouwer, Jan S, Lee, Wei-An Andy, Misra, Shivani, Rhee, Sang Youl, Sabharwal, Ashutosh, Seley, Jane Jeffrie, Shah, Viral N, Tran, Nam K, Waki, Kayo, Worth, Chris, Tian, Tiffany, Aaron, Rachel E, Rutledge, Keetan, Ho, Cindy N, Ayers, Alessandra T, Adler, Amanda, Ahn, David T, Aktürk, Halis Kaan, Al-Sofiani, Mohammed E, Bailey, Timothy S, Baker, Matt, Bally, Lia, Bannuru, Raveendhara R, Bauer, Elizabeth M, Bee, Yong Mong, Blanchette, Julia E, Cengiz, Eda, Chase, James Geoffrey, Y Chen, Kong, Cherñavvsky, Daniel, Clements, Mark, Cote, Gerard L, Dhatariya, Ketan K, Drincic, Andjela, Ejskjaer, Niels, Espinoza, Juan, Fabris, Chiara, Fleming, G Alexander, Gabbay, Monica A L, Galindo, Rodolfo J, Gómez-Medina, Ana María, Heinemann, Lutz, Hermanns, Norbert, Hoang, Thanh, Hussain, Sufyan, Jacobs, Peter G, Jendle, Johan, Joshi, Shashank R, Koliwad, Suneil K, Lal, Rayhan A, Leiter, Lawrence A, Lind, Marcus, Mader, Julia K, Maran, Alberto, Masharani, Umesh, Mathioudakis, Nestoras, McShane, Michael, Mehta, Chhavi, Moon, Sun-Joon, Nichols, James H, O'Neal, David N, Pasquel, Francisco J, Peters, Anne L, Pfützner, Andreas, Pop-Busui, Rodica, Ranjitkar, Pratistha, Rhee, Connie M, Sacks, David B, Schmidt, Signe, Schwaighofer, Simon M, Sheng, Bin, Simonson, Gregg D, Sode, Koji, Spanakis, Elias K, Spartano, Nicole L, Umpierrez, Guillermo E, Vareth, Maryam, Vesper, Hubert W, Wang, Jing, Wright, Eugene, Wu, Alan H B, Yeshiwas, Sewagegn, Zilbermint, Mihail, Kohn, Michael A

“…An error grid compares measured versus reference glucose concentrations to assign clinical risk values to observed errors. Widely used error grids for blood…”
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