Browsing by Author "Dissanayaka, AR"

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    item: Thesis-Abstract
    Incurred but not reported claims reserves estimates methods for auto insurance
    Jeewantha, BC; Dissanayaka, AR
    Due to unprecedented increase in motor insurance coverage, insurance companies are more focus on their financial reporting and general actuaries desire to incorporate more statistical concepts into their daily responsibilities, such as reserve estimates. Recognizing this increased financial oversight, this paper considers develop a model to estimates the Incurred But Not Reported Claims Reserves (IBNR) for Sri Lankan Auto Insurance Market, specifically geared for the work of general actuaries in auto insurance industry. Development factor method also known as completion factor method with the chain ladder approach used to derive the IBNR estimate as a deterministic approach and the regression approach used to develop a model to estimate IBNR for the most recent months. However, combining framework for both methods is important on the same problem. Using the both deterministic and statistical methods, identify the linear and log linear regression models to estimate the IBNR claims for the recent months and then the total estimates throughout the time period after comparing the estimated values with the values obtained from the completion factor method. The developed models will geared for the work of general actuaries in auto insurance in Sri Lankan insurance industry and this will serves to stimulate further research and development of innovative techniques for accurate IBNR predictions.
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    item: Thesis-Abstract
    Relationship between stock returns, trading volume and volatility : in banking, finance, and insurence sector of Colombo stock exchange
    Sandamali, KWR; Dissanayaka, AR; Sandamali, K.W.R. (2014). Relationship between stock returns, trading volume and volatility : in banking, finance, and insurence sector of Colombo stock exchange [Master's theses, University of Moratuwa]. Institutional Repository University of Moratuwa. http://dl.lib.mrt.ac.lk/handle/123/14050
    Trading volume is one of the most favored proxies for information arrivals. This study investigated the empirical relationship between stock returns, trading volume and volatility for ordinary voting shares of 20 active companies with respect to banking, finance and insurance (BFI) sector in Colombo stock exchange (CSE) during the period from January 2004 to December 2011. The number of trades, the number of shares traded and the turnover were used as different measures of trading volume. This study followed the conventional methodologies used by Brailsford (1996) and Kumar and Singh (2010). The results indicated that a positive and significant correlation between absolute return and trading volume, irrespective ofthe direction of price change across all three measures of volume. Furthermore, evidence was found supporting the hypothesis that the volume-price change response slope for negative returns is smaller than the response slope for positive returns, thereby supporting an asymmetric relationship. Also, the study found a positive and significant relationship between trading volume and unconditional volatility, irrespective of the direction of price change and an asymmetric relationship between trading volume and unconditional volatility when the number of trades is taken as measure of volume. The vector autoregressive (VAR) model suggested that the information is processed sequentially rather than simultaneously on BFI sector in the CSE. Furthermore, the results of VAR model, Granger causality test, impulse response function and variance decomposition, indicated that in the presence of current and past volume, returns add some predictive power for future volume when the number of trades is taken as measure of volume. In case of trading volume and conditional volatility, the results support for a strong relationship between contemporaneous volume and conditional volatility. Furthermore, the results indicated that the inclusion of contemporaneous volume in the conditional variance equation of returns results a partially reduction of the volatility persistence. As there was no substantial reduction of volatility persistence, there was no strong evidence for the validity of mixture of distributions hypothesis (MDH) in respect of BFI sector in the CSE. Also, the results suggested that the number of trades is a better proxy for information arrivals than other two measures ofvolume.