We study statistical properties of the daily log returns of the historical stock price indices of the Colombo Stock Exchange in Sri Lanka. We fitted the data by a range of time-series processes. The value at risk of the best model was computed.
ChandrasekaraN. V., MammadovM. A., & TilakaratneC. D. (2016). Parameter estimation of multivariate scaled t distribution: An application to all share price index. Advances and Applications in Statistics, 49, 287–303.
6.
DingZ., GrangerC. W. J., & EngleR. F. (1993). A long memory property of stock market returns and a new model. Journal of Empirical Finance, 1, 83–106.
7.
FernandezC., & SteelM. F. J. (1998). On Bayesian modeling of fat tails and skewness. Journal of the American Statistical Association, 93, 359–371.
8.
GlostenL. R., JagannathanR., & RunkleD. E. (1993). On the relation between the expected value and the volatility of the nominal excess return on stocks. Journal of Finance, 48, 1779–1801.
9.
HansenL. P. (1982). Large sample properties of generalized method of moments estimators. Econometrica, 50, 1029–1054.
10.
HartzC., MittnikS., & PaolellaM. (2006). Accurate value-at-risk forecasting based on the (good old) normal-GARCH model (Center for Financial Studies (CFS), Working Paper Number 2006/23).
11.
KolmogorovA. (1933). Sulla determinazione empirica di una legge di distribuzione. Giornale dell’Istituto Italiano degli Attuari, 4, 83–91.
12.
NijamH. M. (2018). Motives for reporting fixed assets at revalued amount: Evidence from a developing economy. Global Business Review, 19, 604–622.
13.
R Development Core Team (2017). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing.
14.
RathnayakaR. M. K. T., SeneviratnaD. M. K. N., WeiJ. G., & ArumawaduH. I. (2016a). An unbiased GM(1, 1)-based new hybrid approach for time series forecasting. Grey Systems-Theory and Application, 6, 322–340.
15.
RathnayakaR. M. K. T., SeneviratnaD. M. K. N., WeiJ. G., & ArumawaduH. I. (2016b). Grey system based novel forecasting and portfolio mechanism on CSE. Grey Systems-Theory and Application, 6, 126–142.
16.
SchwarzG. E. (1978). Estimating the dimension of a model. Annals of Statistics, 6, 461–464.
17.
SinghJ. (2018). Impact of automobile recalls on stock prices: A study in the Indian context. Global Business Review, 19, 407–423.
18.
SmirnovN. (1948). Table for estimating the goodness of fit of empirical distributions. Annals of Mathematical Statistics, 19, 279–281.
19.
VeeD. N. C., GonpotP. N., & SookiaN. (2012). Assessing the performance of generalized autoregressive conditional heteroskedasticity-based value-at-risk models: A case of frontier markets. Journal of Risk Model Validation, 6, 95–111.
20.
von MisesR. E. (1928). Wahrscheinlichkeit, statistik und wahrheit. Vienna: Julius Springer.