Prowess Case Study

1. Key success factors & company performance…………………………………………………..3 2. Bank perspective regarding the performance…………………………………………………..7 3. Bank financing perspective at the end of 1998……………………………………………….10 4. Management perspective regarding the bank financing………………………………….13 5. Exhibit 1 – Annual Income Statements (1994-1997)………………………………………17 6. Exhibit 2 – Annual Balance Sheets (1994-1997)……………………………………………..18 7. Exhibit 3 – Quarterly Income Statements 1997……………………………………………….19 8. Exhibit 4 – Quarterly Balance Sheets 1997………………………………………………………20 9. Exhibit 5 – Forecasting………………………………………………………………………………………21 10. Exhibit 6 – Annual Ratios………………………………………………………………………………….22 11. Exhibit 7 –

Employment is often a key indicator of the population movement. Hence, we include the unemployment rate (%) in our modelling. The quarterly unemployment rate data are obtained from SLA Markets publications, the Department of Employment, Australian Government. To minimise the variability inherent in small area estimates, the Department provides smooth data, i.e., a four-quarter average, at the SA2s from 2010. Before 2010 data are only available at the SLA . The SLA has a spatial misalignment with the SA2, and to overcome this issue we use the dynamic spatial modelling technique (Bakar et al., 2015) and estimate the quarterly unemployment rate from 2006 to 2009 at the SA2 level. Details of the modelling approach are provided in the supplementary section. To match the yearly time-series format of the net population flow data, we aggregate the unemployment data at the FY level and consequently calculate the maximum and the average unemployment rate at each SA2s.

The Indian economy following the 1991 crisis swiftly moved away from central planning economy towards market-based economy with the government having less intervention and control. As a result, companies were operating in what is called emerging

Mohana, R (2011). Financial Statement Analysis and Reporting. New Delhi: Asoke K. Ghosh, PHI Learni

In the Case of the Unknown Industries, we matched several industries with their corresponding balance sheets. We used several different methods to come up with our conclusion. An important factor we had to remember was the economic state industries were in their respective year.

In this case, a summary sheet which contains 14 sets of financial data from 14 different industries is provided. The task is to match 14 different firms with 14 industries by distinguishing the differences (e.g. sources of financing, profitability, the inventory turnover and the accounts receivable collection period) in the financial structures.

The purpose of this assignment is to increase your understanding of the information contained in a firm’s financial statements and of the relationship between the statements. As you study financial accounting, we will focus on using financial information in a meaningful way, to understand the firm’s past performance and project its future performance.

In an augmented model, rather than treating technology as constant across countries, Romer incorporated knowledge spillover effects. Each unit of investment in capital did not only increase physical capital, but increased availability of knowledge to the whole economy, because private knowledge was correlated with public knowledge . Another model by Robert Barro and Xavier Sala i Martin incorporated varying levels of technology based on region, with knowledge diffusing slowly from areas with high levels of technology to those with low levels . This led to convergence being predicted largely by the rate of diffusion of knowledge, based on the ability for poorer states or countries to imitate ideas and technologies. A third model developed by Greg Makiw, David Romer, and David Weil proposed not a change in the way the model viewed technology, but added another term: one for accumulation of human capital in addition to physical capital . In this augmented Solow model, rates of education were used as a measure for investment in human capital. Education alone is an imperfect measure of human capital. However, there are limitations involved with the practicalities of analyzing data in these models. Thus, Mankiw et al used secondary school attendance, and inclusion of human capital improved the performance of the Solow model

Boom! Sara shakes. She is now at her fifth day of her job. A blacksmith. Sara lives in a society where everyone is treated equally. She gets a schedule for who she can and can’t talk to during the week. The schedule also has certain words she can only use. It seems like everyone in this community is happy. At 14 years old, you get assigned two friends. One girl and one guy. You have to discuss your day with them everyday at exactly 5:00 pm. If you’re late, there will be many consequences. Sara’s two friends are Jack and Ashley. She isn’t very fond of them but she knows she has to be. It is now time for them to meet. Ashley and Jack start to talk about how many their lives are. They begin to ask, “Sara, how is your life been?” Sara starts to cry and walks away.

and restraint have children whose weight gain is less. The children also have lower amounts of excess body fat that can be measured by skinfolds.

Analytical researches will based on the competition (Verrecchia, 1983; Darrough and Stoughton, 1990) and firm value (Hughes, 1986). On the other hand, Empirical research will be mainly focused on the impact of the firm characteristics (Cerf, 1961). Elliott and Jacobson (1994) also claims that there are three benefit of business information disclosure, the entity’s interests, Non-owner investors’ interests and the national interest.

The author has experience in dealing with financial data during his day to day job. Therefore he is comfortable with extracting relevant figures and come to a conclusion on his

Employment is often a key indicator of the population movement. Hence, we use unemployment rate (%) as a factor in the model. The quarterly unemployment rate data is obtained from SLA Markets publications by the Department of Employment, Australian Government. To minimise the variability inherent in small area estimates, the Department provides smooth data, i.e., a four-quarter average, at the SA2s from 2010. Before 2010 data are only available at the SLA . The SLA has a spatial misalignment with the SA2, and to overcome this issue we use the dynamic spatial modelling technique (Bakar, Kokic, & Jin, 2015) and estimate the quarterly unemployment rate from 2006 to 2009 at the SA2 level. Details of the modelling approach is provided in the supplementary section. To match the yearly time-series format of the net population flow data, we aggregate the unemployment data at the FY level and consequently calculate the maximum and the average unemployment rate at each SA2s for

www.masb.org.my, (2014). Malaysian Private Entities Reporting Standard (MPERS). [online] Available at: http://www.masb.org.my/images/MPERS_13Feb2014.pdf [Accessed 13 Feb. 2014].

Limited research work exists on this area, like Booth et al (2001) studied 10 developing countries including Pakistan. However, this study was confined only to top 100 index companies. Second study by Shah and Hijazi (2004) was an improvement on the first one as it included all non-financial firms listed on KSE for the period 1997-2001. However, the second study too was basic in nature in terms of its use of pooled regression model avoiding the fixed effects and random effects models. The purpose of this study is to extend the work of Shah and Hijazi (2004) by extending the sample period i.e 2001-2006 and including more firms in sample as convenient random selection of samples, using relevant models of panel data and using more explanatory variables.