THE GROWTH IMPACT ON COMPANY VALUE: EVIDENCE FROM THE E-COMMERCE SECTOR

<p>Thid dataset contains the information about e-commerce companies globally.</p> <p>The indicators include: region of operations (developed / developing), business-model (1st party trade / 3d party trade), key financial indicators</p> <p>&nbsp;</p> <p>Detailed description of variables:</p> <p>1. Year: the period covers 2017-2021, annual data</p> <p>2. Index: number of the company</p> <p>3. EV/GMV_t: trailing mulriple EV/GMV</p> <p>4. EV/GMV_f: forward multiple EV/GMV</p> <p>5. EV/Revenue: trailing multiple EV/Revenue</p> <p>6. EV/Gross Profit: trailing multiple EV/Gross Proift</p> <p>7. EV/EBITDA: trailing multiple EV/EBITDA</p> <p>8. EV/EBIT: trailing multiple EV/EBIT</p> <p>9. Dummy_Dev: dummy variable, which equals 1 for companies, operating on developed markets, 0 - for developing</p> <p>10. Dummy_Ind: dummy variable, which equals 1 for companies which operating model combines a marketplace and retailing, 0 - for retailers</p> <p>11. Dummy_GP: dummy variable, which equals 1 for companies with positive Gross Profit at a given year</p> <p>11. Dummy_EBITDA: dummy variable, which equals 1 for companies with positive EBITDA at a given year</p> <p>12. GMV_g_1yH: GMV growth rate for 1 historical year</p> <p>13. GMV_g_2yH: GMV CAGR rate for 2 historical years</p> <p>14. GMV_g_1yF: GMV growth for 1 forecasted year</p> <p>15. Rev_g_1yH, Rev_g_2yH, Rev_g_1yF, GP_g_1yH, GP_g_2yH, GP_g_1yF, EBITDA_g_1yH, EBITDA_g_2yH, EBITDA_m_1yF: the same as p.12-14 for Revenue, Gross Profit, and EBITDA</p> <p>16. GP_m_1yH: Gross Margin for 1 historical year</p>