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researcher

I. Ghosh

15 papers hereh-index 251.9k citations175 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • first author8
  • last author5

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • stat.ME6
  • math.ST4
  • cs.CE1
  • cs.NE1
  • physics.soc-ph1
  • q-fin.ST1
same name
  • I. Ghosh — 15 papers, h 5
  • I. Ghosh — 5 papers, h 20
  • I. Ghosh — 2 papers, h 2
  • I. Ghosh — 1 paper, h 16
  • I. Ghosh — 1 paper, h 0
  • I. Ghosh — 1 paper, h 21

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162025
most citedArtificial Neural Network and Time Series Modeling Based Approach to Forecasting the Exchange Rate in a Multivariate Framework

50 citations · 92 across the 14 of their papers we have counts for

collaborators
Showing 2016Show all

3 papers · 1 filter

q-fin.ST2016★ 50 cited

Artificial Neural Network and Time Series Modeling Based Approach to Forecasting the Exchange Rate in a Multivariate Framework

Tamal Datta Chaudhuri, Indranil Ghosh

Any discussion on exchange rate movements and forecasting should include explanatory variables from both the current account and the capital account of the balance of payments. In…

cs.CE2016★ 13 cited

Using Clustering Method to Understand Indian Stock Market Volatility

Tamal Datta Chaudhuri, Indranil Ghosh

In this paper we use Clustering Method to understand whether stock market volatility can be predicted at all, and if so, when it can be predicted. The exercise has been performed f…

cs.NE2016★ 22 cited

Forecasting Volatility in Indian Stock Market using Artificial Neural Network with Multiple Inputs and Outputs

Tamal Datta Chaudhuri, Indranil Ghosh

Volatility in stock markets has been extensively studied in the applied finance literature. In this paper, Artificial Neural Network models based on various back propagation algori…

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