1.Anonymous. 2018. National Horticultural Board, Database 2018, National Horticulture Board, Ministry of Agriculture and Farmer Welfare, Government of India.

2.Areef, M., Rajeswari, S., Vani, N. and Naidu, G.M. 2019. A study on price behaviour of onion in Bangalore market of Karnataka, India. The Andhra Agricultural Journal, 66: 37-41.

3.Bhardwaj, S.P., Paul Ranjith Kumar, Singh, D.R. and Singh, K.N. 2014. An empirical investigation of ARIMA and GARCH models in agricultural price forecasting. Economic Affairs, 59: 415-428.

4.Box, G.E.P. and Jenkins, G.M. 1976. Time series analysis: Forecasting and control, Second Edition, Holden Day.

5.Chahal, S.S., Singla, R. and Kataria, P. 2004. Marketing efficiency and price behaviour of green peas in Punjab. Indian Journal of Agricultural Marketing, 18: 115-128.

6.Chandran, K.P. and Pandey, N.K. 2007. Potato price forecasting using seasonal ARIMA approach. Potato Journal, 34: 1-2.

7.Chengappa, P.G., Manjunatha, A.V., Dimble, V. and Shah, K. 2012. Competitive assessment of onion markets in India. Institute for Social and Economic Change, Report for Competition Commission of India, Government of India.

8.Darekar, A.S., Datarkar, S.B. and Hile, R.B. 2015. Forecasting the prices of onion in Lasalgaon market of western Maharashtra. International conference on recent research Development in Environment, Social Sciences and Humanities, (conference special). 75-81.

9.Darekar, A.S., Pokharkar, V.G. and Yadav, D.B. 2016. Onion price forecasting in Yeola market of Western Maharashtra using ARIMA technique. International Journal of Advanced Biological Research, 6: 551-552.

10.Darekar, A. and Reddy, A.A. 2017. Cotton price forecasting in major producing states. Economic Affairs, 62: 373-378.

11.Devi, I.B., Srikala, M. and Ananda, T. 2016. Price behaviour of chillies in Guntur market of Andhra Pradesh, India. Indian Journal of Agricultural Research, 50: 471-474.

12.Devi, I.B., Ram, P.R., Lavanya, T. and Vandana, S. 2011. Forecasting of prices of sunflower and groundnut in Andhra Pradesh- An application of ARIMA model. The Andhra Agricultural Journal, 58: 368-370.

13.Guha, B. and Bandyopadhyay, G. 2016. Gold price forecasting using ARIMA model. Journal of Advanced Management Science, 4: 117-121.

14.Kumari, R.V., Panasa, V., Gundu, R. and Kaviraju, S. 2017. Price behaviour and forecasting of cotton in Telangana. International Journal of Pure and Applied Biosciences, 5: 863-871.

15.Majid, R. and Mir, S.A. 2018. Advances in statistical forecasting methods: An overview. Economic Affairs, 63: 815-831.

16.Markidakis, S. and Hibbon, M. 1979. Accuracy of forecasting: An empirical investigation. Journal of Royal Statistical Society of Australia, 142: 7-145.

17.Meera and Sharma, H. 2016. Trend and seasonal analysis of wheat in selected market of Sriganganagar district. Economic Affairs, 61: 127-134.

18.Sangeeta, S. 2004. Marketing of onion in Maharashtra. Indian Journal of Agricultural Marketing, 4: 45- 50.

19.Sangsefidi, S.J., Moghadasi, R., Yazdani, S. and Nejad, M. 2015. Forecasting the prices of agricultural products in Iran with ARIMA and ARCH models. International journal of Advanced and Applied Sciences, 2: 54-57.

20.Saxena, R. and Chand, R. 2017. Understanding the Recurring Onion Price Shocks: Revelations from Production-Trade- Price Linkages. ICAR-National Institute of Agricultural Economics and Policy Research (NIAP), New Delhi. Policy Paper 33.

21.Sharma, H. 2015. Applicability of ARIMA models in wholesale wheat market of Rajasthan: An investigation. Economic Affairs, 60: 687- 691.

22.Singh, D.K., Pynbianglang, K. and Pandey, N.K. 2017. Market arrival and price behaviour of potato in Agra district of Uttar Pradesh. Economic Affairs, 62: 341-345.

23.Srikala, M., Devi, I.B., Rajeswari, S., Naidu, G.M. and Prasad, S.V. 2018. Application of Time Series Models for Forecasting of Paddy Prices in Nizamabad Market (Telangana). Agricultural Situation in India, 74: 41-46.

24.Takle, S.R. 2002. Behaviour of market arrivals and prices of rabi jowar in Marathwada. Indian Journal of Agricultural Marketing, 16: 73-75.

25.Vasudev, S. 2015. A study on the price instability and price behaviour of rice in Andhra Pradesh. Indian Journal of Agricultural Marketing, 29: 26-32.

26.Vinayak, N.J. and Patil, B.L. 2015. Onion price forecasting in Hubli market of northern Karnataka using ARIMA technique. Karnataka Journal of Agricultural Science, 28: 228-231.