present and describe the data collection and to describe the characteristics of hotels listed in NEPSE.Population and sample of the studyThe study population consisted of all hotels listed on Nepal Stock Exchange (NEPSE) during the period 2010 to 2017 which consists 3 of listed hotels. Since there arejust three listed hotels in NEPSE namely, Oriental Hotels Limited, Soaltee Hotel Limited and Taragaon Regency Hotel Limited, so here in this study the total population of the study is also the sample of the study. Table 2 shows the list of samples of hotels selected under study.
COMPARISON OF FINANCIAL PERFORMANCE OF LISTED HOTELS24Nature and sources of dataThe present study is based only on secondary data for the analysis. Secondary data is research data that has previously been gathered and can be accessed by researchers. Secondary data is used to increase the sampling size of research studies and is also chosen for the efficiency and speed that comes with using an already existing resource. The financial statements which contain income statement, cash flow and balance sheets of three listed hotels were the main sources of data in this study. These were obtained from the annual report of the respective hotels which is a comprehensive report that intends to give shareholders and other interested people information about the company’s activities as well as the financial performance. The study is focused on NIAT, ROA and ROE. The annual financial reports were taken from websites of the concerned hotels listed in NEPSE. Further, articles from academic journals, relevant text books on the subject, computer software and the internet search engines were also used. The financial statements of three hotels were collected for the period of 2010 to 2017. Statistical tools usedIBM SPSS statistics 20 was used for the analysis. The data, for the period mentioned above, were analyzed by using mean, median, standard deviation, minimum, maximum, ANNOVA. Analysis of Variance (ANOVA)is a collection of statistical models and their associated estimation procedures (such as the "variation" among and between groups) used to analyze the differences among group means in a sample. In the ANOVA setting, the observed variance in a particular variable is partitioned into components attributable to different sources of variation. In its simplest form, ANOVA provides a statistical test of
COMPARISON OF FINANCIAL PERFORMANCE OF LISTED HOTELS25whether the population means of several groups are equal, and therefore generalizes the t-test to more than two groups. ANOVA is useful for comparing (testing) three or more group means for statistical significance. It is conceptually similar to multiple two-sample t-tests, but is more conservative, resulting in fewer type I errors, and is therefore suited toa wide range of practical problems. ANOVA groups differences by comparing the means of each group, and includes spreading out the variance into diverse sources. It is employed with subjects, test groups, between groups and within groups.