Decentralized Non-Custodial Algorithmic Trading & Fund Management

2022 ◽  
Author(s):  
Arunabha Sarkar ◽  
Ritabrata Bhattacharyya ◽  
Thomas Tiveron
Liquidity ◽  
2016 ◽  
Vol 5 (1) ◽  
pp. 53-64
Author(s):  
Yumniati Agustina

Investigation in various regions in Indonesia found indications of the alleged fraud that result from unccountable use and management of BOS funds. Among the findings, including payments that do not fit the technical guidelines, no accountability report, and the use of funds with unaccountable receipt. In the Regulation of the Minister of Education and Culture of the Republic of No. 161/2014, stated that: BOS is a government program that is basically forfunding the nonpersonnel operating costs of the primary education as the implementer of compulsory education program. The purpose of this study were (1) to analyze the accounting cycle and financial accountability for the use of BOS funds in the 2015, (2) to analyze the compliance of the accounting cycle and financial accountability of the BOS funds, (3) to analyze the transparency and accountability of BOS fund’s reports. The observed elementary school is SDIT X in Depok, West Java. Result shows that they do not fully compliance to the appropriate regulatory technical guidelines. On the other hand, the transparency and accountability issues show that: (1) BOS Management Team, Teachers Council and School’s Committee’s involvement in the BOS fund management, and (2) evaluation and comparison of the final report of prior periods, so that transparency and accountability of the use and management of BOS funds can be improved.


2018 ◽  
Vol 24 (6) ◽  
pp. 1366-1385
Author(s):  
M.M. Magomadova ◽  

2020 ◽  
Vol 42 (1) ◽  
pp. 33-46
Author(s):  
Raúl Gómez-Martínez ◽  
Camila Marqués-Bogliani ◽  
Jessica Paule-Vianez

Behavioural finance has shown that investment decisions are the result of not just rational but also emotional brain processes. On the assumption that emotions affect financial markets, it would seem likely that football results might have a measurable effect on financial markets. To test this, this study describes three algorithmic trading systems based exclusively on the results of three top European football teams (Juventus, Bayern München and Paris St Germain) opening long or short positions in the next market season of the futures market of the index of each country (MIB (Milano Italia Borsa), DAX (Deutscher Aktien Index) and CAC (Cotation Assistée en Continu). Depending on the outcome of the last game played a long position was taken after a victory and a short position after a draw or defeat. The results showed that the algorithmic systems were profitable in the case of Juventus and Bayern whereas in the case of PSG, the system was profitable, but in an inverse way. This study shows that investment strategies that take account of sports sentiment could have a profitable outcome.


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