I am using ivregress 2sls command to estimate endogenity

I am using below variables;
Dependent variables - ROA
Independent variables - ACP, ICP, APP ONWC
Control variables, FS, DR

I assume that ICP is my endogenous variable and APP, ONWC, FS and TDTA are my instrumental variables

Estimation Procedures

First,
ivregress 2sls
Second,
estat endogentiy
Third,
estat firststage
Code:
 
 . ivregress 2sls ROA ACP (ICP = APP ONWC FS TDTA)  Instrumental variables (2SLS) regression               Number of obs =    1040                                                        Wald chi2(2)  =   75.04                                                        Prob > chi2   =  0.0000                                                        R-squared     =       .                                                        Root MSE      =  .13991  ------------------------------------------------------------------------------          ROA |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval] -------------+----------------------------------------------------------------          ICP |   .0007183   .0000992     7.24   0.000      .000524    .0009127          ACP |  -.0004456   .0000555    -8.03   0.000    -.0005544   -.0003368        _cons |   .0132083    .010531     1.25   0.210     -.007432    .0338487 ------------------------------------------------------------------------------ Instrumented:  ICP Instruments:   ACP APP ONWC FS TDTA  . estat endog    Tests of endogeneity   Ho: variables are exogenous    Durbin (score) chi2(1)          =  93.2008  (p = 0.0000)   Wu-Hausman F(1,1036)            =  101.982  (p = 0.0000)  . estat firststage    First-stage regression summary statistics   --------------------------------------------------------------------------                |            Adjusted      Partial       Variable |   R-sq.       R-sq.        R-sq.     F(4,1034)   Prob > F   -------------+------------------------------------------------------------            ICP |  0.1889      0.1850       0.1361         40.71    0.0000   --------------------------------------------------------------------------     Minimum eigenvalue statistic = 40.71           Critical Values                      # of endogenous regressors:    1   Ho: Instruments are weak             # of excluded instruments:     4   ---------------------------------------------------------------------                                      |    5%     10%     20%     30%   2SLS relative bias                 |  16.85   10.27    6.71    5.34   -----------------------------------+---------------------------------                                      |   10%     15%     20%     25%   2SLS Size of nominal 5% Wald test  |  24.58   13.96   10.26    8.31   LIML Size of nominal 5% Wald test  |   5.44    3.87    3.30    2.98   ---------------------------------------------------------------------

The second method is used by adding lags of endogenous variables in ivregress 2sls

Code:
 
 . ivregress 2sls ROA ACP APP ONWC FS TDTA (ICP = ICP_01)  Instrumental variables (2SLS) regression               Number of obs =    1039                                                        Wald chi2(6)  =  241.39                                                        Prob > chi2   =  0.0000                                                        R-squared     =  0.1904                                                        Root MSE      =  .10224  ------------------------------------------------------------------------------          ROA |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval] -------------+----------------------------------------------------------------          ICP |  -.0001331   .0000441    -3.02   0.003    -.0002195   -.0000466          ACP |  -.0000327   .0000429    -0.76   0.445    -.0001168    .0000513          APP |  -.0001001   .0000495    -2.02   0.043    -.0001972   -3.03e-06         ONWC |   .2484759   .0238135    10.43   0.000     .2018023    .2951495           FS |   .0154282    .002339     6.60   0.000     .0108438    .0200125         TDTA |   .0131924   .0246532     0.54   0.593     -.035127    .0615117        _cons |  -.1584281   .0315125    -5.03   0.000    -.2201915   -.0966646 ------------------------------------------------------------------------------ Instrumented:  ICP Instruments:   ACP APP ONWC FS TDTA ICP_01  . estat endog    Tests of endogeneity   Ho: variables are exogenous    Durbin (score) chi2(1)          =  .744985  (p = 0.3881)   Wu-Hausman F(1,1031)            =  .739779  (p = 0.3899)  . estat firststage    First-stage regression summary statistics   --------------------------------------------------------------------------                |            Adjusted      Partial       Variable |   R-sq.       R-sq.        R-sq.     F(1,1032)   Prob > F   -------------+------------------------------------------------------------            ICP |  0.5358      0.5331       0.4264       767.013    0.0000   --------------------------------------------------------------------------     Minimum eigenvalue statistic = 767.013         Critical Values                      # of endogenous regressors:    1   Ho: Instruments are weak             # of excluded instruments:     1   ---------------------------------------------------------------------                                      |    5%     10%     20%     30%   2SLS relative bias                 |         (not available)   -----------------------------------+---------------------------------                                      |   10%     15%     20%     25%   2SLS Size of nominal 5% Wald test  |  16.38    8.96    6.66    5.53   LIML Size of nominal 5% Wald test  |  16.38    8.96    6.66    5.53   ---------------------------------------------------------------------
The second method using lags of ICP is giving opposite result meaning that ICP is not endogenous

Please help with the below questions;

1. Which method is correct ?
2. If one is correct from above, is it sufficient to check the endogenity of all IVs one by one and run xtabond2 (difference/system) ?

Thank you