Kanchan Sinha

Name

Kanchan Sinha
Completed
  1. Study on volatility spillover of agricultural commodity prices (PI).
  2. Development of Hybrid Time Series Models using Machine Learning Techniques for Forecasting Crop Yield with Covariates (Co-PI).
  3. A study on market efficiency of agricultural commodity prices. (Co-PI).
E-mail

kanchan[dot]sinha[at]icar[dot]gov[dot]in
Designation

Scientist
Awards
  1. Uttar Banga Krishi Viswavidyalaya (UBKV), Pundibari, Coochbehar, West Bengal Under Graduate (UG) scholarship
  2. Junior Research Fellowship (JRF) Post Graduate (PG) under ICAR-IARI, New Delhi.
  3. Senior Research Fellowship (SRF) for pursuing Ph.D. under ICAR-IARI, New Delhi.
  4. Senior Research Fellowship under ICAR, Headquarter New Delhi
Articles
  1. Rathod, S., Singh, K,N., Paul, R.K., Meher, R.K., Mishra, G.C., Gurung, B., Ray, M. and Sinha, K. (2017). An Improved ARFIMA Model using Maximum Overlap Discrete Wavelet Transform (MODWT) and ANN for Forecasting Agricultural Commodity Price.  Journal of the Indian Society of agricultural Statistics. 71(2): 103–111.
  2. Sinha, K., Gurung, B., Paul, R.K., Kumar, A., Panwar, S., Alam, W., Ray, M and Rathod, S. (2017). Volatility Spill over using multivariate GARCH model: An application in futures and spot market price of black pepper. Journal of the Indian Society of Agricultural Statistics, 71 (1), 21-28.
  3. Anjoy, P., Paul, R. K., Sinha, K., Paul, A. K. and Ray, M. (2017). A hybrid wavelet based neural networks model for predicting monthly WPI of pulses in India. Indian Journal of Agricultural Sciences. 87 (6), 834-839.
  4. Amit Saha, A., Bhardwaj, S.P., Singh, K.N., Sinha, K., Grover, A. and Gurung, B. (2017) Hedge Ratio based on Ordinary Least Squares (OLS) Vs State Space Methodologies, Journal of the Indian Society of Agricultural Statistics, 71(1), 15–20.
  5. Singh, Sh. H., Narasimiah, L., De, S., Sinha, K., Sathish, G. and Sahu, P.K. (2017) Discriminant analysis: a tool for identifying significant socio-economic correlates in farming system – a case study, Journal of Crop and Weed, 13(1), 42-45.
  6. Rathod, S., Singh, K.N., Paul, R.K., Meher, S.K., Mishra, G.C., Gurung, B., Ray, M. and Sinha, K. (2017). An improved ARFIMA model using maximum overlap discrete wavelet transform (MODWT) and ANN for forecasting agricultural commodity price. Journal of the Indian Society of Agricultural Statistics. 71(2), 103-111.
  7. Lama, A., Jha, G. K., Gurung, B., Paul, R. K., Sinha, K. (2016) VAR-MGARCH Models for Volatility Modelling of Pulses Prices: An Application, Journal of the Indian Society of Agricultural Statistics, 70(2), 145-151
  8. Bhardwaj, S. P., Gurung, B. and Sinha, K. (2016) Commodity Futures a New Form of Marketing Based on Market Fundamentals, Indian Journal of Agricultural Economics, 71 (3), 314
  9. Bhardwaj, S. P., Gurung, B., Sinha, K. and Singh, K. N. (2016) Study on market efficiency and price risk management in future trading, Indian Journal of Agricultural Marketing 30 (3s), 48-58
  10. Sinha, K, Paul, R.K. and Bhar, L. M. (2016) Price Transmission and Causality in major onion markets of India. Journal of the Society for Application of Statistics in Agriculture and Allied Sciences (SASAA), 1(2), 35-40.
  11. Alam, W, Chaturvedi, A, Kumar, A, Singh, KN and Sinha, K (2016). Sequential testing for decision making in the management of mustard aphid using size-biased negative binomial distribution. Int. J. Agricult. Stat. Sci. 12(2), 531-535.
  12. Paul, R. K. and Sinha, K. (2016) Forecasting crop yield: ARIMAX and NARX model, RASHI, 1(1), 77-85
  13. Paul, R. K. and Sinha, K. (2015) Spatial market integration among major coffee markets in India, Journal of the Indian Society of Agricultural Statistics, 69 (3), 281-287
  14. Jha, G. K. and Sinha, K. (2014) Time-delay neural networks for time series prediction: an application to the monthly wholesale price of oilseeds in India, Neural Computing and Applications, 24 (3-4), 563-571
  15. Lepcha, L., Gurung, B., Paul, R. K. and Sinha, K. (2014) Stochastic model for sticklac forecasting in India, Economic Affairs 59 (3), 479
  16. Jha, G. K. and Sinha, K. (2013) Agricultural Price Forecasting Using Neural Network Model: An Innovative Information Delivery System, Agricultural Economics Research Review 26 (2)
Books

Books Edited (e-books):

  1. Sinha, K, Alam, W, Panwar, S and Gurung, B. (2016). Study on Volatility Spillover of Agricultural, Commodity Prices. IASRI, New Delhi-12
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