According to Digital Marketing study by Smart Insights, 46% of brands don’t have a defined digital marketing strategy, while 16% do have a strategy but haven’t yet integrated it into their marketing activity then do it. But here’s the thing if you don’t have a plan in place how y…
This study compared accounting performance of Islamic banks with their market performance and also assessed the effect of firm-specific determinants and cross-sectional effect on accounting and market performance. This study selected all six listed I...
• Conducted a volatility study to develop pairs trading strategy by writing web crawlers that automated extracting 30 equity and ETF spot and options prices data from CBOE and Yahoo Finance • Utilized NumPy, Pandas, and SciPy packages to calculate implied volatility, realized vol…
10 hours ago · Track Stock Futures For The Dow Jones, S&P 500 And Nasdaq. The analysis you'll find in the Stock Market Today is based on over 130 years of market history and a detailed study of every...
This paper deals with a fundamental subject that has seldom been addressed in recent years, that of market impact in the options market. Our analysis is based on a proprietary database of metaorders-large orders that are split into smaller pieces bef...
We study the effect of globalization on the Korean market, one of the emerging markets. Some characteristics of the Korean market are different from those of the mature market according to the latest market data, and this is due to the influence of...
In a stock market, the numeraire portfolio, if it exists, is the portfolio with the highest expected logarithmic growth rate at all times. A numeraire market is a stock market for which the market portfolio is the numeraire portfolio. We study open m...
This is the first study to explore the transmission paths for liquidity shocks in China's segmented money market. We examine how money market transactions create such pathways between China's closely-guarded banking sector and the rest of its financi...
In this study, we focus on the market clearing problem of Turkish day-ahead electricity market. We propose a mathematical model by extending the variety of bid types for different price regions. The commercial solvers may not find any feasible soluti...
Market depth calculation for Uniswap v3 (⭐ 127)
We study Cournot competition among firms in a networked marketplace that is centrally managed by a market maker. In particular, we study a situation in which a market maker facilitates trade between geographically separate markets via a constrained t...
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Market research project for Marriott International analyzing customer preferences, travel trends, loyalty programs, and sustainability. A six-month mixed-method study delivering insights and recommendations to improve satisfaction and strengthen competitive advantage. (⭐ 0)
Major bank mergers and acquisitions (M&A) transform the financial market structure, but their valuation and spillover effects remain open to question. This study examines the market reaction to two M&A events: the 2005 creation of Mitsubishi UFJ Fina...
We conduct an experimental analysis of a dataset comprising over 27 million microtasks performed by over 70,000 workers issued to a large crowdsourcing marketplace between 2012-2016. Using this data---never before analyzed in an academic context---we...
In modern capital market the price of a stock is often considered to be highly volatile and unpredictable because of various social, financial, political and other dynamic factors. With calculated and thoughtful investment, stock market can ensure a...
In this paper, we study the problem of allocating ads to users through the viral-marketing lens. Advertisers approach the host with a budget in return for the marketing campaign service provided by the host. We show that allocation that takes into ac...
This research presents a novel Discrete Event Simulation (DES) of the Lloyd's of London specialty insurance market, exploring complex market dynamics that have not been previously studied quantitatively. The proof-of-concept model allows for the simu...
through the study of past market data, primarily price and volume. The efficacy of technical analysis is disputed by the efficient-market hypothesis,
A detailed study of four machine learning Techniques(Random-Forest, Linear Regression, Neural-Networks, Technical Indicators(Ex: RSI)) has been carried out for Google Stock Market prediction using Yahoo and Google finance historical data. (⭐ 25)