商业与金融事务杂志

The case provides the risk management process and framework of an insurTech company - GoDigit. The company incorporated in the year 2016, based in Bengaluru, is an online platform based organisation that provides non-life insurance. The company earned a revenue of INR 93.83 crore for the financial year 2017-18. The company majorly faces four kind of risks which are Assets/Liability Management (ALM), Liquidity risk, Reinsurance risk and Operational risk. The company has a risk framework monitored by the risk management committee which formulates and regulates the risk management of the company comprising of 2 non-executive directors and the CEO & Principal officer of the company. The case studies the detailed analysis of various kinds of risks and how severe they can prove to the company.

The paper carries out a depth study of the crimes in the United States, considered as dependent variables, using six explanatory variables that are: Welfare, health Care, Education, Protection, Interest and Unemployment. The short and long-term relationships have been estimated by the ARDL/Bounds testing Methodology proposed by Pesaran, Shin and Smith (PSS). For each type of crimes, Violent, Property and Total crimes, a long-term equilibrium relationship has been validated and the Error Correction Model (ECM) has been built. The results show the adjustment speed towards equilibrium vary between 8.9% and 12.4%.

This research aims to investigate the determinants of stock return for non-financial firms listed on Pakistan stock market. The firms which have been taken under consideration belong to the energy sector of Pakistan. This research has included two known variables which are firm level characteristics (firm age, firm size and firm Solvency) and macroeconomic factors of interest rate and economic growth. In this study, 22 companies out of total 35 companies have been taken for analysis purpose. The data has been taken for the period of 2006 to 2016. Empirical findings of the study revealed that there was a positive relationship between firm age and stock returns while firm size hasn’t shown any significant impact on stock returns. It has been found that there was a significant relationship between solvency ratio and stock returns. The results of the regression model confirmed that there was a negative relationship between solvency ratio and stock returns as well as between interest rate and stock price. The interest rate has also shown a statistically significant impact on stock returns. In addition to it, results also showed that there was a significant relationship between economic growth and stock return.