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Table 7 Measurements of forecast accuracy

From: Forecasting risk using auto regressive integrated moving average approach: an evidence from S&P BSE Sensex

Forecast

RMSE

MAE

ADANI_PORTS___S

0.841378

0.652633

ASIAN_PAINTS

0.42077

0.321786

AXIS_BANK

0.500367

0.387344

BHARTI_AIRTEL

0.506822

0.431662

CIPLA

0.46884

0.379596

COAL_INDIA

0.578413

0.492412

DR__REDDY_S_LAB

0.646997

0.539812

HDFC_BANK

0.322295

0.282889

HERO_MOTOCORP

0.41597

0.321013

HINDUSTAN_UNILE

0.561764

0.477721

HOUSING_DEVELO

3.30179

1.272049

ICICI_BANK

0.63866

0.548679

INFOSYS

0.414746

0.312569

ITC

0.375254

0.290329

KOTAK_MAHINDRA_

0.417355

0.316470

LARSEN___TOUBRO

0.354568

0.287889

LUPIN

0.446219

0.346406

MAHINDRA___MAHI

0.372881

0.308901

MARUTI_SUZUKI

0.580104

0.450615

NTPC

0.452623

0.395638

OIL_AND_NATURAL

0.608324

0.474146

POWER_GRID_COR

0.533949

0.461928

RELIANCE_INDUSTR

0.353265

0.281110

STATE_BANK_OF_I

0.582342

0.498306

SUN_PHARMACEUTI

0.423818

0.334507

TATA_CONSULTANC

0.638716

0.501766

TATA_MOTORS

0.631745

0.491985

TATA_MOTORS_DVR

0.687075

0.565276

TATA_STEEL

0.733887

0.626166

WIPRO

0.567257

0.494062

Simple mean

0.130158

0.100902

Trimmed mean

0.102722

0.085454

Simple median

0.147315

0.117914

Least-squares

0.151789

0.116337

Mean square error

0.108251

0.084964

MSE ranks

0.111369

0.090427

  1. Source: Compiled by authors