title: “uloha” author: “Vanessza Bölcsová” output: html_notebook bibliography: references.bib
Cash ratio
The cash ratio is a measurement of a company’s liquidity. It specifically calculates the ratio of a company’s total cash and cash equivalents to its current liabilities. The metric evaluates company’s ability to repay its short-term debt with cash or near-cash resources, such as easily marketable securities. This information is useful to creditors when they decide how much money, if any, they would be willing to loan a company. Compared to other liquidity ratios, the cash ratio is generally a more conservative look at a company’s ability to cover its debts and obligations, because it sticks strictly to cash or cash-equivalent holdings—leaving other assets, including accounts receivable, out of the equation.
Data
The data originate from the web side Mendeley data and are a side-product of the research published by @stanivsic2020empirical. Individuals and organizations use data to gather knowledge, make decisions, and find solutions. With the development of technology, the significance of data has substantially expanded in recent years, and its analysis and interpretation are now essential. A dataset is a group of data that has been arranged and shown in a structured way. It can be compared to a table or spreadsheet with rows of data and columns of information, where each row represents a distinct observation or instance and each column represents a particular variable or feature of that observation. Using datasets for research, analysis, machine learning, and model training are just a few of the many uses that can be made of them. They could be made by gathering information through tests, surveys, or observations, or they could be sourced.
Hypothesis
We expect that large companies hold more cash than small companies, as well as more debt, cash flow and growth.
Our aim is to provide some graphical analysis explaining this fact in the continuation of the document, we will provide more advanced statistics. (as it is Your first step in data processing, I recommend You to use exactly the same kind of the analysis, but with other indicatiors - next time, we will extend our space for the other analysis significantly)
Data processing and results
## Loading required package: Rcpp## ##
## ## Amelia II: Multiple Imputation
## ## (Version 1.8.1, built: 2022-11-18)
## ## Copyright (C) 2005-2023 James Honaker, Gary King and Matthew Blackwell
## ## Refer to http://gking.harvard.edu/amelia/ for more information
## ##
For continuing the analysis, the database needs even more reconstruction. First of all, we need exclude variables we do not need for achieving our goals. Inspecting the paper of @stanivsic2020empirical our more
## AOP71 AOP442 AOP68
## 2557 92.21502 174.6222 62.71852
## 2711 61.97407 290.1486 109.26900
## 2719 81.33519 217.7464 110.48110
The box interquartile ranges (boxes) overlay - it gives us the feeleing the cash ratio differences between both groups are statisticaly signifficant - we can accept the hypothesis given above