https://lazar-jelic-am01.netlify.app/ Recent content on home Hugo -- gohugo.io https://lazar-jelic-am01.netlify.app/adms/ Mon, 01 Jan 0001 00:00:00 +0000 https://lazar-jelic-am01.netlify.app/adms/ what is a process or decision that used to be made by humans and is now automated by sophisticated algorithms? apart from obvious real-world examples of automated decision-making systems (adms) of self-driving cars and trading, where 85% of all transactions in the foreign exchange markets is conducted by algorithms alone (demetis, 2021), bidding bots for freelance project posts represent another example of adms produced for a niche market, in which i was participating during my high-school days. https://lazar-jelic-am01.netlify.app/contact/ Mon, 01 Jan 0001 00:00:00 +0000 https://lazar-jelic-am01.netlify.app/contact/ feel free to get in touch with me anytime by calling me at +447863450217 writing to me at ljelic.mam2022@london.edu coming to regent’s park nw1 4sa london https://lazar-jelic-am01.netlify.app/ethics/ Mon, 01 Jan 0001 00:00:00 +0000 https://lazar-jelic-am01.netlify.app/ethics/ how i have seen one of unethical barriers interfere with ethical behaviour in the past? to illustrate one type of unethical barrier, named by the authors as “ill-conceived goals” (bazerman and tenbrunsel, 2011), the following paragraph describes a particular behavioural pattern present within customer support teams or individuals focused on quantity rather than quality, i.e., oriented to maximizing the number of positive feedbacks rather than to increasing customer satisfaction. https://lazar-jelic-am01.netlify.app/bikes/ Mon, 01 Jan 0001 00:00:00 +0000 https://lazar-jelic-am01.netlify.app/bikes/ we are interested in finding out how much are rentals for each year are different from the 6-year monthly average. why do we want to know such a weird metric? well, we might want to compare the effect of some management decisions over time. the difference in differences method, but we will keep this simple and compare only monthly bike rentals over 6 years. firstly, let us load the data and take a look at the first few rows. https://lazar-jelic-am01.netlify.app/projects/ Mon, 01 Jan 0001 00:00:00 +0000 https://lazar-jelic-am01.netlify.app/projects/ take a look at the projects that i have done so far at london business school risk-return analysis of the nyse stocks excess rentals in tfl bike sharing automated decision-making systems ethical breakdowns for more exciting projects take a look at my github profile s https://lazar-jelic-am01.netlify.app/nyse/ Mon, 01 Jan 0001 00:00:00 +0000 https://lazar-jelic-am01.netlify.app/nyse/ our goal with this project is to analyse a risk-return relationship of stocks of our choice in order to see which ones should we buy given a specific level of risk aversion. to achieve this goal, we will need to calculate some measurements using descriptive statistics and to plot a few charts. firstly, we load a dataset nyse.csv containing 508 stocks listed on the new york stock exchange, their unique ticker symbol and name, the ipo_year (initial public offering), as well as the sector and industry the company is in.